- Open Graph Benchmark: Datasets for Machine Learning on Graphs
- Pointer Graph Networks
- Subgraph Neural Networks
- Graph Meta Learning via Local Subgraphs
- Principal Neighbourhood Aggregation for Graph Nets
- Random Walk Graph Neural Networks
- Distance Encoding -- Design Provably More Powerful Graph Neural Networks for Structural Representation Learning
- Convergence and Stability of Graph Convolutional Networks on Large Random Graphs
- Erdos Goes Neural: an Unsupervised Learning Framework for Combinatorial Optimization on Graphs
- GNNGuard: Defending Graph Neural Networks against Adversarial Attacks
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- Graph Geometry Interaction Learning
- PGM-Explainer: Probabilistic Graphical Model Explanations for Graph Neural Networks
- Parameterized Explainer for Graph Neural Network
- Attribution for Graph Neural Networks
- GCN meets GPU: Decoupling When to Sample from How to Sample
- Scalable Graph Neural Networks via Bidirectional Propagation
- GCOMB: Learning Budget-constrained Combinatorial Algorithms over Billion-sized Graphs
- The Convolution Exponential and Generalized Sylvester Flows
- Digraph Inception Convolutional Networks
- Graph Stochastic Neural Networks for Semi-supervised Learning
- Graph Random Neural Networks for Semi-Supervised Learning on Graphs
- Uncertainty Aware Semi-Supervised Learning on Graph Data
- Graph Information Bottleneck
- Design Space for Graph Neural Networks
- Handling Missing Data with Graph Representation Learning
- Factorizable Graph Convolutional Networks
- Scattering GCN: Overcoming Oversmoothness in Graph Convolutional Networks
- Pre-Training Graph Neural Networks: A Contrastive Learning Framework with Augmentations
- Temporal Positive-unlabeled Learning for Biomedical Hypothesis Generation via Risk Estimation
- Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting
- Graph Cross Networks with Vertex Infomax Pooling
- DiffGCN: Graph Convolutional Networks via Differential Operators and Algebraic Multigrid Pooling
- Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs
- Rethinking pooling in graph neural networks
- A graph similarity for deep learning
- Towards Deeper Graph Neural Networks with Differentiable Group Normalization
- Path Integral Based Convolution and Pooling for Graph Neural Networks
- Evolving Graphical Planner: Contextual Global Planning for Vision-and-Language Navigation
- Learning Graph Structure With A Finite-State Automaton Layer
- Can Q-Learning with Graph Networks Learn a Generalizable Branching Heuristic for a SAT Solver?
- Deep Statistical Solvers
- Bandit Samplers for Training Graph Neural Networks
- Towards More Practical Adversarial Attacks on Graph Neural Networks
- Reliable Graph Neural Networks via Robust Location Estimation
- Certified Robustness of Graph Convolution Networks for Graph Classification under Topological Attacks
- Variational Inference for Graph Convolutional Networks in the Absence of Graph Data and Adversarial Settings
- Adversarial Attacks on Deep Graph Matching
- Can graph neural networks count substructures?
- Learning Physical Graph Representations from Visual Scenes
- Language and Visual Entity Relationship Graph for Agent Navigation
- Factor Graph Neural Network
- Reinforced Molecular Optimization with Neighborhood-Controlled Grammars
- GROVER: Self-supervised Message Passing Transformer on Large-scale Molecular Data
- Bridging the Gap between Sample-based and One-shot Neural Architecture Search with BONAS
- BRP-NAS: Prediction-based NAS using GCNs
- Stochastic Deep Gaussian Processes over Graphs
- Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting
- Cross-Scale Internal Graph Neural Network for Image Super-Resolution
- Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph Link Prediction
- Set2Graph: Learning Graphs From Sets
- Beta Embeddings for Multi-Hop Logical Reasoning in Knowledge Graphs
- Better Set Representations For Relational Reasoning
- Universal Function Approximation on Graphs
- Dirichlet Graph Variational Autoencoder
- Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings
- Discovering Symbolic Models from Deep Learning with Inductive Biases
- JAX MD: A Framework for Differentiable Physics
- Multipole Graph Neural Operator for Parametric Partial Differential Equations
- A graph similarity for deep learning
- Building powerful and equivariant graph neural networks with structural message-passing
- Implicit Graph Neural Networks
- Learning Dynamicitn Belief Graphs to Generalize on Text-Based Games
- Graphon Neural Networks and the Transferability of Graph Neural Networks
- Natural Graph Networks
- Strongly Incremental Constituency Parsing with Graph Neural Networks
- Deep Relational Topic Modeling via Graph Poisson Gamma Belief Network
- Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs
- Generative 3D Part Assembly via Dynamic Graph Learning
- Graph Policy Network for Transferable Active Learning on Graphs
- On the equivalence of molecular graph convolution and molecular wave function with poor basis set
- Learning Policy with Compositional Generalizability using Self-Supervised Object Proposals
- GPS-Net: Graph-based Photometric Stereo Network
- Transferable Graph Optimizers for ML Compilers
- Hybrid Models for Learning to Branch
- Node Classification on Graphs with Few-Shot Novel Labels via Meta Transformed Network Embedding
- Unsupervised Joint k-node Graph Representations with Compositional Energy-Based Models
- The Diversified Ensemble Neural Network
- Optimization and Generalization Analysis of Transduction through Gradient Boosting and Application to Multi-scale Graph Neural Networks
- Neural Message Passing for Multi-Relational Ordered and Recursive Hypergraphs
- CodeCMR: Cross-Modal Retrieval For Function-Level Binary Source Code Matching
- Learning to Execute Programs with Instruction Pointer Attention Graph Neural Networks
- EvolveGraph: Multi-Agent Trajectory Prediction with Dynamic Relational Reasoning
- BayReL: Bayesian Relational Learning for Multi-omics Data Integration
- RetroXpert: Decompose Retrosynthesis Prediction like A Chemist
- Towards Scale-Invariant Graph-related Problem Solving by Iterative Homogeneous GNNs
- Weisfeiler and Leman go sparse: Towards scalable higher-order graph embeddings
- How hard is to distinguish graphs with graph neural networks?
- Reward Propagation Using Graph Convolutional Networks
- Curriculum learning for multilevel budgeted combinatorial problems
- Dense Correspondences between Human Bodies via Learning Transformation Synchronization on Graphs
- Rotation-Invariant Local-to-Global Representation Learning for 3D Point Cloud
- SIRI: Spatial Relation Induced Network For Spatial Description Resolution
- 3D Shape Reconstruction from Vision and Touch
- A Novel Automated Curriculum Strategy to Solve Hard AI Planning Instances
- Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning
- Primal-Dual Mesh Convolutional Neural Networks
- Fully Convolutional Mesh Autoencoder using Efficient Spatially Varying Kernels
- Learning Continuous System Dynamics from Irregularly-Sampled Partial Observations
- Deep Imitation Learning for Bimanual Robotic Manipulation
- Scalable Multi-Hop Relational Reasoning for Knowledge-Aware Question Answering
- Disentangle-based Continual Graph Representation Learning
- Language Generation with Multi-Hop Reasoning on Commonsense Knowledge Graph
- Question Directed Graph Attention Network for Numerical Reasoning over Text
- Message Passing for Hyper-Relational Knowledge Graphs
- Knowledge Association with Hyperbolic Knowledge Graph Embeddings
- Recurrent Event Network: Autoregressive Structure Inference over Temporal Knowledge Graphs
- Double Graph Based Reasoning for Document-level Relation Extraction
- Global-to-Local Neural Networks for Document-Level Relation Extraction
- Hierarchical Graph Network for Multi-hop Question Answering.
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- H2KGAT: Hierarchical Hyperbolic Knowledge Graph Attention Network
- Adaptive Attentional Network for Few-Shot Knowledge Graph Completion
- Deep Attentive Learning for Stock Movement Prediction from Social Media Text and Company Correlations
- Event Detection: Gate Diversity and Syntactic Importance Scores for Graph Convolution Neural Networks
- TeMP: Temporal Message Passing for Temporal Knowledge Graph Completion
- Sentiment Analysis of Tweets Using Heterogeneous Multi-layer Network Representation and Embedding
- HENIN: Learning Heterogeneous Neural Interaction Networks for Explainable Cyberbullying Detection on Social Media
- Neural Extractive Summarization with Hierarchical Attentive Heterogeneous Graph Network
- KGLM: Pretrained Knowledge-Grounded Language Model for Data-to-Text Generation
- Scene Restoring for Narrative Machine Reading Comprehension
- Towards Medical Machine Reading Comprehension with Structural Knowledge and Plain Text
- Exploring and Evaluating Attributes, Values, and Structures for Entity Alignment
- Be More with Less: Hypergraph Attention Networks for Inductive Text Classification
- Neural Topic Modeling by Incorporating Document Relationship Graph
- GraphDialog: Integrating Graph Knowledge into End-to-End Task-Oriented Dialogue Systems
- Lightweight, Dynamic Graph Convolutional Networks for AMR-to-Text Generation
- Program Enhanced Fact Verification with Verbalization and Graph Attention Network
- Online Back-Parsing for AMR-to-Text Generation
- GRADE: Automatic Graph-Enhanced Coherence Metric for Evaluating Open-Domain Dialogue Systems
- Relation-aware Graph Attention Networks with Relational Position Encodings for Emotion Recognition in Conversations
- Supertagging Combinatory Categorial Grammar with Attentive Graph Convolutional Networks
- Introducing Syntactic Structures into Target Opinion Word Extraction with Deep Learning
- Knowledge Graph Alignment with Entity-Pair Embedding
- Distilling Structured Knowledge for Text-Based Relational Reasoning
- Inducing Target-specific Latent Structures for Aspect Sentiment Classification
- Exploiting Structured Knowledge in Text via Graph-Guided Representation Learning
- SRLGRN: Semantic Role Labeling Graph Reasoning Network
- AttnIO: Knowledge Graph Exploration with In-and-Out Attention Flow for Knowledge-Grounded Dialogue
- VolTAGE: Volatility Forecasting via Text-Audio Fusion with Graph Convolution Networks for Earnings Calls
- Neural Deepfake Detection with Factual Structure of Text
- A Knowledge-Aware Sequence-to-Tree Network for Math Word Problem Solving
- Graph Convolutions over Constituent Trees for Syntax-Aware Semantic Role Labeling
- Multi-label Few/Zero-shot Learning with Knowledge Aggregated from Multiple Label Graphs
- Convolution over Hierarchical Syntactic and Lexical Graphs for Aspect Level Sentiment Analysis
- Learn to Cross-lingual Transfer with Meta Graph Learning across Heterogeneous Languages
- Text Graph Transformer for Document Classification
- An Empirical Study on Large-Scale Multi-Label Text Classification Including Few and Zero-Shot Labels
- Is Graph Structure Necessary for Multi-hop Reasoning?
- Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning
- Beyond Localized Graph Neural Networks: An Attributed Motif Regularization Framework
- The Necessity of Geometrical Representation for Deep Graph Analysis
- Toward Unsupervised Graph Neural Network: Interactive Clustering and Embedding via Optimal Transport
- Adversarial Label-Flipping Attack and Defense for Graph Neural Networks
- Provably Robust Node Classification via Low-Pass Message Passing
- Tree Structure-Aware Graph Representation Learning via Integrated Hierarchical Aggregation and Relational Metric Learning
- OWGL: Open-World Graph Learning
- Graph Pooling with Representativeness
- Heterogeneous Molecular Graph Neural Networks for Predicting Molecule Properties
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- FeatureNorm: L2 Feature Normalization for Dynamic Graph Embedding
- Community Attention Network for Semi-supervised Node Classification
- LFGCN: Levitating over Graphs with Levy Flights
- Exploratory Adversarial Attacks on Graph Neural Networks
- Adversarial Active Learning based Heterogeneous Graph Neural Network for Fake News Detection
- Cross-Graph: Robust and Unsupervised Embedding for Attributed Graphs with Corrupted Structure
- Robust Meta Network Embedding against Adversarial Attacks
- Defending Water Treatment Networks: Exploiting Spatio-temporal Effects for Cyber Attack Detection
- STGCN: A Spatial-Temporal Aware Graph Learning Method for POI Recommendation
- TSSRGCN: Temporal Spectral Spatial Retrieval Graph Convolutional Network for Traffic Flow Forecasting
- AGSTN: Learning Attention-adjusted Graph Spatio-Temporal Networks for Short-term Urban Sensor Value Forecasting
- Spatiotemporal Hypergraph Convolution Networks for Stock Movement Forecasting
- A Heterogeneous Spatiotemporal Network for Lightning Prediction
- Heterogeneous Mini-Graph Neural Network and Its Application to Fraud Invitation Detection
- Metagraph Aggregated Heterogeneous Graph Neural Network for Illicit Traded Product Identification in Underground Market
- Pairwise Learning for Name Disambiguation in Large-Scale Heterogeneous Academic Networks
- Meta-path Hierarchical Heterogeneous Graph Convolution Network for High Potential Scholar Recognition
- Co-Embedding Network Nodes and Hierarchical Labels with Taxonomy Based Generative Adversarial Networks
- Global Context Enhanced Social Recommendation with Hierarchical Graph Neural Networks
- Dynamic Graph Collaborative Filtering
- Fast Adaptation for Cold-start Collaborative Filtering with Meta-learning
- Active Learning with Multi-granular Graph Auto-Encoder
- EWS-GCN: Edge Weight-Shared Graph Convolutional Network for Transactional Banking Data
- Multivariate Time-series Anomaly Detection via Graph Attention Network
- NF-VGA: Incorporating Normalizing Flows into Graph Variational Autoencoder for Embedding Attribute Networks
- Deep Semantic Network Representation
- On Dropping Clusters to Regularize Graph Convolutional Neural Networks
- Graph convolutional networks for learning with few clean and many noisy labels
- Learning Visual Commonsense for Robust Scene Graph Generation
- Bridging Knowledge Graphs to Generate Scene Graphs
- GINet: Graph Interaction Network for Scene Parsing
- Comprehensive Image Captioning via Scene Graph Decomposition
- Learning Canonical Representations for Scene Graph to Image Generation
- Visual-Relation Conscious Image Generation from Structured-Text
- Graph-Based Social Relation Reasoning
- Region Graph Embedding Network for Zero-Shot Learning
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- SumGraph: Video Summarization via Recursive Graph Modeling
- Video Object Segmentation with Episodic Graph Memory Networks
- Representation Learning on Visual-Symbolic Graphs for Video Understanding
- Graph Wasserstein Correlation Analysis for Movie Retrieval
- Propagating Over Phrase Relations for One-Stage Visual Grounding
- Hierarchical Visual-Textual Graph for Temporal Activity Localization via Language
- Boundary Content Graph Neural Network for Temporal Action Proposal Generation
- Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory Prediction
- DDGCN: A Dynamic Directed Graph Convolutional Network for Action Recognition
- Decoupling GCN with DropGraph Module for Skeleton-Based Action Recognition
- Attention-Driven Dynamic Graph Convolutional Network for Multi-Label Image Recognition
- A Comprehensive Study of Weight Sharing in Graph Networks for 3D Human Pose Estimation
- Graph-PCNN: Two Stage Human Pose Estimation with Graph Pose Refinement
- Pose2Mesh: Graph Convolutional Network for 3D Human Pose and Mesh Recovery from a 2D Human Pose
- JGR-P2O: Joint Graph Reasoning based Pixel-to-Offset Prediction Network for 3D Hand Pose Estimation from a Single Depth Image
- Differentiable Hierarchical Graph Grouping for Multi-Person Pose Estimation
- GeoGraph: Graph-based multi-view object detection with geometric cues end-to-end
- Cascade Graph Neural Networks for RGB-D Salient Object Detection
- DRG: Dual Relation Graph for Human-Object Interaction Detection
- Contextual Heterogeneous Graph Network for Human-Object Interaction Detection
- Representative Graph Neural Network
- Class-wise Dynamic Graph Convolution for Semantic Segmentation
- Regression of Instance Boundary by Aggregated CNN and GCN
- Learn to Propagate Reliably on Noisy Affinity Graphs
- Learning Graph-Convolutional Representations for Point Cloud Denoising
- Empowering Relational Network by Self-Attention Augmented Conditional Random Fields for Group Activity Recognition
- Group Activity Prediction with Sequential Relational Anticipation Model
- Learning Structural Similarity of User Interface Layouts using Graph Networks
- Neural Design Network: Graphic Layout Generation with Constraints
- House-GAN: Relational Generative Adversarial Networks for Graph-constrained House Layout Generation
- Learning Lane Graph Representations for Motion Forecasting
- Learning Object Relation Graph and Tentative Policy for Visual Navigation
- Edge-aware Graph Representation Learning and Reasoning for Face Parsing
- Structured Landmark Detection via Topology-Adapting Deep Graph Learning
- Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers
- A Generic Graph-based Neural Architecture Encoding Scheme for Predictor-based NAS
- Multi-view adaptive graph convolutions for graph classification
- Explanation-based Weakly-supervised Learning of Visual Relations with Graph Networks
- SACA Net: Cybersickness Assessment of Individual Viewers for VR Content via Graph-based Symptom Relation Embedding
- XGNN: Towards Model-Level Explanations of Graph Neural Networks
- Understanding Negative Sampling in Graph Representation Learning
- Certifiable Robustness of Graph Convolutional Networks under Structure Perturbations
- NodeAug: Semi-Supervised Node Classification with Data Augmentation
- Redundancy-Free Computation Graphs for Graph Neural Networks
- SCE: Scalable Network Embedding from Sparsest Cut
- Towards Deeper Graph Neural Networks
- TinyGNN: Learning Efficient Graph Neural Networks
- Minimal Variance Sampling with Provable Guarantees for Fast Training of Graph Neural Networks
- Scaling Graph Neural Networks with Approximate PageRank
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- Personalized PageRank to a Target Node, Revisited
- GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training
- GPT-GNN: Generative Pre-Training of Graph Neural Networks
- AM-GCN: Adaptive Multi-channel Graph Convolutional Networks
- Adaptive Graph Encoder for Attributed Graph Embedding
- Policy-GNN: Aggregation Optimization for Graph Neural Networks
- CurvaNet: Geometric Deep Learning based on Multi-scale Directional Curvature for 3D Shape Analysis
- Grammatically Recognizing Images with Tree Convolution
- Task-Adaptive Graph Meta-learning
- Personalized Image Retrieval with Sparse Graph Representation Learning
- Graph Structure Learning for Robust Graph Neural Networks
- REA: Robust Cross-lingual Entity Alignment Between Knowledge Graphs
- MultiImport: Inferring Node Importance in a Knowledge Graph from Multiple Input Signals
- TIMME: Twitter Ideology-detection via Multi-task Multi-relational Embedding
- DETERRENT: Knowledge Guided Graph Attention Network for Detecting Healthcare Misinformation
- Dynamic Knowledge Graph based Multi-Event Forecasting
- HGMF: Heterogeneous Graph-based Fusion for Multimodal Data with Incompleteness
- HGCN: A Heterogeneous Graph Convolutional Network-Based Deep Learning Model Toward Collective Classification
- MultiSage: Empowering GCN with Contextualized Multi-Embeddings on Web-Scale Multipartite Networks
- Graph Attention Networks over Edge Content-Based Channels
- A Dual Heterogeneous Graph Attention Network to Improve Long-Tail Performance for Shop Search in E-Commerce
- HetETA: Heterogeneous Information Network Embedding for Estimating Time of Arrival
- An efficient neighborhood-based interaction model for recommendation on heterogeneous graph
- A Framework for Recommending Accurate and Diverse Items Using Bayesian Graph Convolutional Neural Networks
- Dual Channel Hypergraph Collaborative Filtering
- Multi-level Graph Convolutional Networks for Cross-platform Anchor Link Prediction
- Hypergraph Convolutional Recurrent Neural Network
- Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks
- Calendar Graph Neural Networks for Modeling Time Structures in Spatiotemporal User Behaviors
- Knowing your FATE: Friendship, Action and Temporal Explanations for User Engagement Prediction on Social Apps
- Interpretable Deep Graph Generation with Node-Edge Co-Disentanglement
- MoFlow: An Invertible Flow Model for Generating Molecular Graphs
- ASGN: An Active Semi-supervised Graph Neural Network for Molecular Property Prediction
- Deep Learning of High-Order Interactions for Protein Interface Prediction
- Dynamic Heterogeneous Graph Neural Network for Real-time Event Prediction
- Attentional Multi-graph Convolutional Network for Regional Economy Prediction with Open Migration Data
- Learning Effective Road Network Representation with Hierarchical Graph Neural Networks
- ConSTGAT: Contextual Spatial-Temporal Graph Attention Network for Travel Time Estimation at Baidu Maps
- Outcome Correlation in Graph Neural Network Regression
- Handling Information Loss of Graph Neural Networks for Session-based Recommendation
- Graph Structural-topic Neural Network
- Neural Subgraph Isomorphism Counting
- Neural Dynamics on Complex Networks
- Octet: Online Catalog Taxonomy Enrichment with Self-Supervision
- Attentional Graph Convolutional Networks for Knowledge Concept Recommendation in MOOCs in a Heterogeneous View
- MVIN: Learning Multiview Items for Recommendation
- Learning to Transfer Graph Embeddings for Inductive Graph based Recommendation
- Global Context Enhanced Graph Neural Networks for Session-based Recommendation
- Neighbor Interaction Aware Graph Convolution Networks for Recommendation
- LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation
- Multi-behavior Recommendation with Graph Convolutional Networks
- GCN-Based User Representation Learning for Unifying Robust Recommendation and Fraudster Detection
- Answer Ranking for Product-Related Questions via Multiple Semantic Relations Modeling
- Streaming Graph Neural Networks
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- Hierarchical Fashion Graph Network for Personalized Outfit Recommendation
- Alleviating the Inconsistency Problem of Applying Graph Neural Network to Fraud Detection
- Neural Concept Map Generation for Effective Document Classification with Interpretable Structured Summarization
- Spatio-Temporal Dual Graph Attention Network for Query-POI Matching
- Social Media User Geolocation via Hybrid Attention
- Bundle Recommendation with Graph Convolutional Networks
- MGNN: A Multimodal Graph Neural Network for Predicting the Survival of Cancer Patients
- Reinforcement Learning based Recommendation with Graph Convolutional Q-network
- MVL: Multi-View Learning for News Recommendation
- Label-Consistency based Graph Neural Networks for Semi-supervised Node Classification
- TAGNN: Target Attentive Graph Neural Networks for Session-based Recommendation
- A Heterogeneous Graph Neural Model for Cold-start Recommendation
- ATBRG: Adaptive Target-Behavior Relational Graph Network for Effective Recommendation
- Item Tagging for Information Retrieval: A Tripartite Graph Neural Network based Approach
- Robust Layout-aware IE for Visually Rich Documents with Pre-trained Language Models
- Simple and Deep Graph Convolutional Networks
- Fast Learning of Graph Neural Networks with Guaranteed Generalizability: One-hidden-layer Case
- Graph Convolutional Network for Recommendation with Low-pass Collaborative Filters
- Efficient Robustness Certificates for Discrete Data: Sparsity-Aware Randomized Smoothing for Graphs, Images and More
- When Does Self-Supervision Help Graph Convolutional Networks?
- Graph Structure of Neural Networks
- Spectral Clustering with Graph Neural Networks for Graph Pooling
- Graph Random Neural Features for Distance-Preserving Graph Representations
- Bayesian Graph Neural Networks with Adaptive Connection Sampling
- Convolutional Kernel Networks for Graph-Structured Data
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- GNN-FiLM: Graph Neural Networks with Feature-wise Linear Modulation
- Multi-Agent Routing Value Iteration Network
- Progressive Graph Learning for Open-Set Domain Adaptation
- Differentiating through the Fréchet Mean
- Haar Graph Pooling
- Deep Coordination Graphs
- Interferometric Graph Transform: a Deep Unsupervised Graph Representation
- Robust Graph Representation Learning via Neural Sparsification
- Generalization and Representational Limits of Graph Neural Networks
- Active Learning on Attributed Graphs via Graph Cognizant Logistic Regression and Preemptive Query Generation
- Learning Algebraic Multigrid Using Graph Neural Networks
- Continuous Graph Neural Networks
- One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control
- Constant Curvature Graph Convolutional Networks
- Inductive Relation Prediction by Subgraph Reasoning
- Learning to Simulate and Design for Structural Engineering
- Few-shot Relation Extraction via Bayesian Meta-learning on Task Graphs
- Graph-based, Self-Supervised Program Repair from Diagnostic Feedback
- Combining Differentiable PDE Solvers and Graph Neural Networks for Fluid Flow Prediction
- Generalized Neural Policies for Relational MDPs
- Generating Programmatic Referring Expressions via Program Synthesis
- Latent Variable Modelling with Hyperbolic Normalizing Flows
- Contrastive Multi-View Representation Learning on Graphs
- GraphOpt: Learning Optimization Models of Graph Formation
- Multi-Objective Molecule Generation using Interpretable Substructures
- Incidence Networks for Geometric Deep Learning
- Deep Graph Random Process for Relational-Thinking-Based Speech Recognition
- Graph Filtration Learning
- A Graph to Graphs Framework for Retrosynthesis Prediction
- LP-SparseMAP: Differentiable Relaxed Optimization for Sparse Structured Prediction
- Graph Homomorphism Convolution
- Semiparametric Nonlinear Bipartite Graph Representation Learning with Provable Guarantees
- Learning to Simulate Complex Physics with Graph Networks
- Hierarchical Generation of Molecular Graphs using Structural Motifs
- Heterogeneous Graph Transformer for Graph-to-Sequence Learning
- Hierarchy-Aware Global Model for Hierarchical Text Classification
- Knowledge Graph-Augmented Abstractive Summarization with Semantic-Driven Cloze Reward
- ZeroShotCeres: Zero-Shot Relation Extraction from Semi-Structured Webpages
- Low-Dimensional Hyperbolic Knowledge Graph Embeddings
- HyperCore: Hyperbolic and Co-graph Representation for Automatic ICD Coding
- Structural Information Preserving for Graph-to-Text Generation
- Bipartite Flat-Graph Network for Nested Named Entity Recognition
- Improving Image Captioning with Better Use of Caption
- Reasoning Over Semantic-Level Graph for Fact Checking
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- KinGDOM: Knowledge-Guided DOMain Adaptation for Sentiment Analysis
- Neighborhood Matching Network for Entity Alignment
- ReInceptionE: Relation-Aware Inception Network with Joint Local-Global Structural Information for Knowledge Graph Embedding
- Heterogeneous Graph Neural Networks for Extractive Document Summarization
- Discourse-Aware Neural Extractive Text Summarization
- Leveraging Graph to Improve Abstractive Multi-Document Summarization
- Every Document Owns Its Structure: Inductive Text Classification via Graph Neural Networks
- Relational Graph Attention Network for Aspect-based Sentiment Analysis
- Syntax-Aware Opinion Role Labeling with Dependency Graph Convolutional Networks
- Enhancing Cross-target Stance Detection with Transferable Semantic-Emotion Knowledge
- Effective Inter-Clause Modeling for End-to-End Emotion-Cause Pair Extraction
- Integrating Semantic and Structural Information with Graph Convolutional Network for Controversy Detection
- Aspect Sentiment Classification with Document-level Sentiment Preference Modeling
- Dependency Graph Enhanced Dual-transformer Structure for Aspect-based Sentiment Classification
- LogicalFactChecker: Leveraging Logical Operations for Fact Checking with Graph Module Network
- Fine-grained Fact Verification with Kernel Graph Attention Network
- Reasoning with Latent Structure Refinement for Document-Level Relation Extraction
- Entity-Aware Dependency-Based Deep Graph Attention Network for Comparative Preference Classification
- Grounded Conversation Generation as Guided Traverses in Commonsense Knowledge Graphs
- Response-Anticipated Memory for On-Demand Knowledge Integration in Response Generation
- Semantic Graphs for Generating Deep Questions
- Learning to Ask More: Semi-Autoregressive Sequential Question Generation under Dual-Graph Interaction
- Bridging the Structural Gap Between Encoding and Decoding for Data-To-Text Generation
- Line Graph Enhanced AMR-to-Text Generation with Mix-Order Graph Attention Networks
- AMR Parsing with Latent Structural Information
- A Novel Graph-based Multi-modal Fusion Encoder for Neural Machine Translation
- Multimodal Neural Graph Memory Networks for Visual Question Answering
- Aligned Dual Channel Graph Convolutional Network for Visual Question Answering
- Document Modeling with Graph Attention Networks for Multi-grained Machine Reading Comprehension
- Premise Selection in Natural Language Mathematical Texts
- Graph-to-Tree Learning for Solving Math Word Problems
- Amalgamation of protein sequence, structure and textual information for improving protein-protein interaction identification
- Distinguish Confusing Law Articles for Legal Judgment Prediction
- Understanding the Language of Political Agreement and Disagreement in Legislative Texts
- SpellGCN: Incorporating Phonological and Visual Similarities into Language Models for Chinese Spelling Check
- Neural Graph Matching Networks for Chinese Short Text Matching
- Learning to Tag OOV Tokens by Integrating Contextual Representation and Background Knowledge
- A Graph Auto-encoder Model of Derivational Morphology
- MR-GCN: Multi-Relational Graph Convolutional Networks based on Generalized Tensor Product
- Graph Neural News Recommendation with Unsupervised Preference Disentanglement
- GCAN: Graph-aware Co-Attention Networks for Explainable Fake News Detection on Social Media
- Autoencoding Pixies: Amortised Variational Inference with Graph Convolutions for Functional Distributional Semantics
- Interpreting Twitter User Geolocation
- Taxonomy Construction of Unseen Domains via Graph-based Cross-Domain Knowledge Transfer
- Neural Reranking for Dependency Parsing: An Evaluation
- Parsing into Variable-in-situ Logico-Semantic Graphs
- DRTS Parsing with Structure-Aware Encoding and Decoding
- When Do GNNs Work: Understanding and Improving Neighborhood Aggregation
- Bilinear Graph Neural Network with Neighbor Interactions
- Inductive Link Prediction for Nodes Having Only Attribute Information
- Transductive Relation-Propagation Network for Few-shot Learning
- Multi-Class Imbalanced Graph Convolutional Network Learning
- Exploiting Mutual Information for Substructure-aware Graph Representation Learning
- Exploiting Visual Semantic Reasoning for Video-Text Retrieval
- Mucko: Multi-Layer Cross-Modal Knowledge Reasoning for Fact-based Visual Question Answering
- GoGNN: Graph of Graphs Neural Network for Predicting Structured Entity Interactions
- Communicative Representation Learning on Attributed Molecular Graphs
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- NLocalSAT: Boosting Local Search with Solution Prediction
- Hierarchical Attention Based Spatial-Temporal Graph-to-Sequence Learning for Grounded Video Description
- Semi-Dynamic Hypergraph Neural Network for 3D Pose Estimation
- Discrete Embedding for Latent Networks
- Rumor Detection on Social Media with Graph Structured Adversarial Learning
- GraphFlow: Exploiting Conversation Flow with Graph Neural Networks for Conversational Machine Comprehension
- Label-Attended Hashing for Multi-Label Image Retrieval
- G2RL: Geometry-Guided Representation Learning for Facial Action Unit Intensity Estimation
- Inductive Anomaly Detection on Attributed Networks
- Autoencoding Keyword Correlation Graph for Document Clustering
- Dynamic Language Binding in Relational Visual Reasoning
- Action-Guided Attention Mining and Relation Reasoning Network for Human-Object Interaction Detection
- GraphSleepNet: Adaptive Spatial-Temporal Graph Convolutional Networks for Sleep Stage Classification
- Multi-Channel Graph Neural Networks
- JANE: Jointly Adversarial Network Embedding
- Improving Attention Mechanism in Graph Neural Networks via Cardinality Preservation
- Graph Neural Architecture Search
- Domain Adaptive Classification on Heterogeneous Information Networks
- Joint Representation Learning of Legislator and Legislation for Roll Call Prediction
- BANANA: when Behavior ANAlysis meets social Network Alignment
- Deep Learning for Abstract Argumentation Semantics
- Coloring Graph Neural Networks for Node Disambiguation
- LSGCN: Long Short-Term Traffic Prediction with Graph Convolutional Networks
- MaCAR: Urban Traffic Light Control via Active Multi-agent Communication and Action Rectification
- KGNN: Knowledge Graph Neural Network for Drug-Drug Interaction Prediction
- A Graph-based Interactive Reasoning for Human-Object Interaction Detection
- Adaptively Multi-Objective Adversarial Training for Dialogue Generation
- Multi-View Attribute Graph Convolution Networks for Clustering
- RDF-to-Text Generation with Graph-augmented Structural Neural Encoders
- BERT-INT:A BERT-based Interaction Model For Knowledge Graph Alignment
- Smart Contract Vulnerability Detection using Graph Neural Network
- Neighbor Combinatorial Attention for Critical Structure Mining
- DeepWeave: Accelerating Job Completion Time with Deep Reinforcement Learning-based Coflow Scheduling
- Adversarial Mutual Information Learning for Network Embedding
- Semi-Markov Reinforcement Learning for Stochastic Resource Collection
- The Graph-based Mutual Attentive Network for Automatic Diagnosis
- Learning to Accelerate Heuristic Searching for Large-Scale Maximum Weighted b-Matching Problems in Online Advertising
- Community-Centric Graph Convolutional Network for Unsupervised Community Detection
- CooBa: Cross-project Bug Localization via Adversarial Transfer Learning
- Two-Phase Hypergraph Based Reasoning with Dynamic Relations for Multi-Hop KBQA
- Learning Latent Forests for Medical Relation Extraction
- Global Structure and Local Semantics-Preserved Embeddings for Entity Alignment
- Multi-hop Reading Comprehension across Documents with Path-based Graph Convolutional Network
- Better AMR-To-Text Generation with Graph Structure Reconstruction
- Hype-HAN: Hyperbolic Hierarchical Attention Network for Semantic Embedding
- Generalized Zero-Shot Text Classification for ICD Coding
- Multi-View Joint Graph Representation Learning for Urban Region Embedding
- Deep Semantic Compliance Advisor for Unstructured Document Compliance Checking
- Risk Guarantee Prediction in Networked-Loans
- Modeling the Stock Relation with Graph Network for Overnight Stock Movement Prediction
- Financial Risk Analysis for SMEs with Graph-based Supply Chain Mining
- Temporal Attribute Prediction via Joint Modeling of Multi-Relational Structure Evolution
- L^2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks
- Distribution-induced Bidirectional Generative Adversarial Network for Graph Representation Learning
- Shoestring: Graph-Based Semi-Supervised Learning with Severely Limited Labeled Data
- Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions
- DPGN: Distribution Propagation Graph Network for Few-shot Learning
- Graph Structured Network for Image-Text Matching
- Dynamic Neural Relational Inference
- Geometrically Principled Connections in Graph Neural Networks
- Probabilistic Structural Latent Representation for Unsupervised Embedding
- Rotation Equivariant Graph Convolutional Network for Spherical Image Classification
more
- DualConvMesh-Net: Joint Geodesic and Euclidean Convolutions on 3D Meshes
- Say As You Wish: Fine-grained Control of Image Caption Generation with Abstract Scene Graphs
- Semantic Image Manipulation Using Scene Graphs
- Learning 3D Semantic Scene Graphs from 3D Indoor Reconstructions
- Weakly Supervised Visual Semantic Parsing
- End-to-End Optimization of Scene Layout
- GPS-Net: Graph Property Sensing Network for Scene Graph Generation
- Multi-Modal Graph Neural Network for Joint Reasoning on Vision and Scene Text
- Deep Relational Reasoning Graph Network for Arbitrary Shape Text Detection
- Iterative Context-Aware Graph Inference for Visual Dialog
- Fine-grained Video-Text Retrieval with Hierarchical Graph Reasoning
- Object Relational Graph with Teacher-Recommended Learning for Video Captioning
- Spatio-Temporal Graph for Video Captioning with Knowledge Distillation
- Distillating Knowledge from Graph Convolutional Networks
- Density-Aware Graph for Deep Semi-Supervised Visual Recognition
- Hierarchical Graph Attention Network for Visual Relationship Detection
- Affinity Graph Supervision for Visual Recognition
- Cross-domain Detection via Graph-induced Prototype Alignment
- Adaptive Graph Convolutional Network with Attention Graph Clustering for Co-saliency Detection
- Learning Combinatorial Solver for Graph Matching
- Two-Stage Peer-Regularized Feature Recombination for Arbitrary Image Style Transfer
- Domain-aware Visual Bias Eliminating for Generalized Zero-Shot Learning
- Visual-Semantic Matching by Exploring High-Order Attention and Distraction
- SuperGlue: Learning Feature Matching with Graph Neural Networks
- Dynamic Graph Message Passing Networks
- G-TAD: Sub-Graph Localization for Temporal Action Detection
- Progressive Relation Learning for Group Activity Recognition
- Where Does It Exist: Spatio-Temporal Video Grounding for Multi-Form Sentences
- LiDAR-based Online 3D Video Object Detection with Graph-based Message Passing and Spatiotemporal Transformer Attention
- Improving Action Segmentation via Graph Based Temporal Reasoning
- Adaptive Interaction Modeling via Graph Operations Search
- SGAS: Sequential Greedy Architecture Search
- A Semi-Supervised Assessor of Neural Architectures
- Graph-guided Architecture Search for Real-time Semantic Segmentation
- Bidirectional Graph Reasoning Network for Panoptic Segmentation
- Spatial Pyramid Based Graph Reasoning for Semantic Segmentation
- 3D-MPA: Multi Proposal Aggregation for 3D Semantic Instance Segmentation
- Learning Visual Motion Segmentation Using Event Surfaces
- SegGCN: Efficient 3D Point Cloud Segmentation With Fuzzy Spherical Kernel
- Adaptive Hierarchical Down-Sampling for Point Cloud Classification
- GraphTER: Unsupervised Learning of Graph Transformation Equivariant Representations via Auto-Encoding Node-wise Transformations
- Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud
- Convolution in the Cloud: Learning Deformable Kernels in 3D Graph Convolution Networks for Point Cloud Analysis
- Grid-GCN for Fast and Scalable Point Cloud Learning
- A Hierarchical Graph Network for 3D Object Detection on Point Clouds
- Learning Dynamic Relationships for 3D Human Motion Prediction
- Context-Aware Human Motion Prediction
- Dynamic Multiscale Graph Neural Networks for 3D Skeleton Based Human Motion Prediction
- Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition
- Skeleton-Based Action Recognition With Shift Graph Convolutional Network
- Context Aware Graph Convolution for Skeleton-Based Action Recognition
- Hierarchical Human Parsing with Typed Part-Relation Reasoning
- VSGNet: Spatial Attention Network for Detecting Human Object Interactions Using Graph Convolutions
- VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation
- Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction
- GNN3DMOT: Graph Neural Network for 3D Multi-Object Tracking With 2D-3D Multi-Feature Learning
- Learning a Neural Solver for Multiple Object Tracking
- Collaborative Motion Prediction via Neural Motion Message Passing
- Global-Local GCN: Large-Scale Label Noise Cleansing for Face Recognition
- Learning to Cluster Faces via Confidence and Connectivity Estimation
- Uncertainty-Aware Mesh Decoder for High Fidelity 3D Face Reconstruction
- Towards High-Fidelity 3D Face Reconstruction from In-the-Wild Images Using Graph Convolutional Networks
- HOPE-Net: A Graph-based Model for Hand-Object Pose Estimation
- Weakly-Supervised Mesh-Convolutional Hand Reconstruction in the Wild
- Graph Embedded Pose Clustering for Anomaly Detection
- Learning to Dress 3D People in Generative Clothing
- High-Order Information Matters: Learning Relation and Topology for Occluded Person Re-Identification
- Spatial-Temporal Graph Convolutional Network for Video-Based Person Re-Identification
- Learning Multi-Granular Hypergraphs for Video-Based Person Re-Identification
- Hypergraph Attention Networks for Multimodal Learning
- View-GCN: View-Based Graph Convolutional Network for 3D Shape Analysis
- Learning Multi-View Camera Relocalization With Graph Neural Networks
- CPR-GCN: Conditional Partial-Residual Graph Convolutional Network in Automated Anatomical Labeling of Coronary Arteries
- Cross-View Correspondence Reasoning Based on Bipartite Graph Convolutional Network for Mammogram Mass Detection
- Predicting Lymph Node Metastasis Using Histopathological Images Based on Multiple Instance Learning With Deep Graph Convolution
- Deep Grouping Model for Unified Perceptual Parsing
- Auto-Encoding Twin-Bottleneck Hashing
- Composing Good Shots by Exploiting Mutual Relations
- Intelligent Home 3D: Automatic 3D-House Design From Linguistic Descriptions Only
- Conv-MPN: Convolutional Message Passing Neural Network for Structured Outdoor Architecture Reconstruction
- Can We Learn Heuristics For Graphical Model Inference Using Reinforcement Learning?
- Composition-based Multi-Relational Graph Convolutional Networks
- Graph Neural Networks Exponentially Lose Expressive Power for Node Classification
- What graph neural networks cannot learn: depth vs width
- On the Equivalence between Node Embeddings and Structural Graph Representations
- Dynamically Pruned Message Passing Networks for Large-scale Knowledge Graph Reasoning
- Pruned Graph Scattering Transforms
- The Logical Expressiveness of Graph Neural Networks
- Efficient Probabilistic Logic Reasoning with Graph Neural Networks
- Automated Relational Meta-learning
- Curvature Graph Network
more
- DeepSphere: a graph-based spherical CNN
- Contrastive Learning of Structured World Models
- What Can Neural Networks Reason About?
- Geom-GCN: Geometric Graph Convolutional Networks
- Adaptive Structural Fingerprints for Graph Attention Networks
- Graph inference learning for semi-supervised classification
- Measuring and Improving the Use of Graph Information in Graph Neural Networks
- Inductive Matrix Completion Based on Graph Neural Networks
- Inductive representation learning on temporal graphs
- Inductive and Unsupervised Representation Learning on Graph Structured Objects
- PairNorm: Tackling Oversmoothing in GNNs
- DropEdge: Towards Deep Graph Convolutional Networks on Node Classification
- GraphSAINT: Graph Sampling Based Inductive Learning Method
- GraphZoom: A Multi-level Spectral Approach for Accurate and Scalable Graph Embedding
- Strategies for Pre-training Graph Neural Networks
- InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization
- Few-Shot Learning on Graphs via Super-Classes based on Graph Spectral Measure
- A Fair Comparison of Graph Neural Networks for Graph Classification
- StructPool: Structured Graph Pooling via Conditional Random Fields
- Memory-Based Graph Networks
- Directional Message Passing for Molecular Graphs
- GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation
- Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation
- Graph Convolutional Reinforcement Learning
- LambdaNet: Probabilistic Type Inference using Graph Neural Networks
- Hoppity: Learning Graph Tranformations To Detect and Fix Bugs in Programs
- Global Relational Models of Source Code
- Learning deep graph matching with channel-independent embedding and Hungarian attention
- Deep Graph Matching Consensus
- Hyper-SAGNN: a self-attention based graph neural network for hypergraphs
- Physics-aware Difference Graph Networks for Sparsely-Observed Dynamics
- On the geometry and learning low-dimensional embeddings for directed graphs
- Mathematical Reasoning in Latent Space
- Neural Execution of Graph Algorithms
- Abstract Diagrammatic Reasoning with Multiplex Graph Networks
- Graph Representation Learning via Graphical Mutual Information Maximization
- MAGNN: Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding
- Heterogeneous Graph Transformer
- Unsupervised Domain Adaptive Graph Convolutional Networks
- Mining Implicit Entity Preference from User-Item Interaction Data for Knowledge Graph Completion via Adversarial Learning
- Beyond Clicks: Modeling Multi-Relational Item Graph for Session-Based Target Behavior Prediction
- Open Knowledge Enrichment for Long-tail Entities
- Structural Deep Clustering Network
- Adversarial Attack on Community Detection by Hiding Individuals
- GraphGen: A Scalable Approach to Domain-agnostic Labeled Graph Generation
more
- Structure-Feature based Graph Self-adaptive Pooling
- Identifying Referential Intention with Heterogeneous Contexts
- Graph Attention Topic Modeling Network
- Complex Factoid Question Answering with a Free-Text Knowledge Graph
- A Generic Edge-Empowered Graph Convolutional Network via Node-Edge Mutual Enhancement
- Continuous-Time Link Prediction via Temporal Dependent Graph Neural Network
- Traffic Flow Prediction via Spatial Temporal Graph Neural Network
- High Quality Candidate Generation and Sequential Graph Attention Network for Entity Linking
- Dynamic Graph Convolutional Networks for Entity Linking
- ROSE: Role-based Signed Network Embedding
- One2Multi Graph Autoencoder for Multi-view Graph Clustering
- Adversarial Attacks on Graph Neural Networks via Node Injections: A Hierarchical Reinforcement Learning Approach
- Graph Enhanced Representation Learning for News Recommendation
- Learning to Hash with Graph Neural Networks for Recommender Systems
- Collective Multi-type Entity Alignment Between Knowledge Graphs
- TaxoExpan: Self-supervised Taxonomy Expansion with Position-Enhanced Graph Neural Network
- Dynamic Flow Distribution Prediction for Urban Dockless E-Scooter Sharing Reconfiguration
- Towards Fine-grained Flow Forecasting: A Graph Attention Approach for Bike Sharing Systems
- ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations
- Independence Promoted Graph Disentangled Networks
- Fast and Deep Graph Neural Networks
- Infusing Knowledge into the Textual Entailment Task Using Graph Convolutional Networks
- Graph-Based Reasoning over Heterogeneous External Knowledge for Commonsense Question Answering
- Adversarial Attacks on Graph Neural Networks via Node Injections: A Hierarchical Reinforcement Learning Approach
- Multi-Label Classification with Label Graph Superimposing
- Knowledge Graph Transfer Network for Few-Shot Recognition
- Few-Shot Knowledge Base Completion
- Graph Few-shot Learning via Knowledge Transfer
- Unsupervised Attributed Multiplex Network Embedding
more
- Co-GCN for Multi-View Semi-Supervised Learning
- Learning Signed Network Embedding via Graph Attention
- Going Deep: Graph Convolutional Ladder-shape Networks
- Relational Graph Neural Network with Hierarchical Attention for Knowledge Graph Completion
- Commonsense Knowledge Base Completion with Structural and Semantic Context
- GraLSP: Graph Neural Networks with Local Structural Patterns
- An Attention-based Graph Neural Network for Heterogeneous Structural Learning
- Motif-matching based Subgraph-level Attentional Convolution Network for Graph Classification
- Graph-Hist: Graph Classification from Latent Feature Histograms With Application to Bot Detection
- A Multi-Scale Approach for Graph Link Prediction
- Type-aware Anchor Link Prediction across Heterogeneous Networks based on Graph Attention Network
- EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs
- DGCN: Dynamic Graph Convolutional Network for Efficient Multi-Person Pose Estimation
- Facial Action Unit Intensity Estimation via Semantic Correspondence Learning with Dynamic Graph Convolution
- Hypergraph Label Propagation Network
- Graph Representation Learning via Ladder Gamma Variational Autoencoders
- Uncertainty Aware Graph Gaussian Process for Semi-Supervised Learning
- Effective Decoding in Graph Auto-Encoder using Triadic Closure
- Graph Representations for Higher-Order Logic and Theorem Proving
- A Restricted Black-box Adversarial Framework Towards Attacking Graph Embedding Models
- Measuring and Relieving the Over-smoothing Problem for Graph Neural Networks from the Topological View
- Zero-shot Sketch-based Image Retrieval via Graph Convolution Network
- Multi-Stage Self-Supervised Learning for Graph Convolutional Networks
- Find Objects and Focus on Highlights: Mining Object Semantics for Video Highlight Detection via Graph Neural Networks
- Modality to Modality Translation: An Adversarial Representation Learning and Graph Fusion Network for Multimodal Fusion
- When Radiology Report Generation meets Knowledge Graph
- Coordinated Reasoning for Cross-Lingual Knowledge Graph Alignment
- Generative Adversarial Zero-Shot Relational Learning for Knowledge Graphs
- GraphER: Token-Centric Entity Resolution with Graph Convolutional Neural Networks
- Graph LSTM with Context-Gated Mechanism for Spoken Language Understanding
- Select, Answer and Explain: Interpretable Multi-hop Reading Comprehension over Multiple Documents
- Capturing Sentence Relations for Answer Sentence Selection with Multi-Perspective Graph Encoding
- Tensor Graph Convolutional Networks for Text Classification
- Synch-Graph: Multisensory Emotion Recognition Through Neural Synchrony via Graph Convolutional Networks
- Message Passing Attention Networks for Document Understanding
- Structure Learning for Headline Generation
- Schema-Guided Multi-Domain Dialogue State Tracking with Graph Attention Neural Networks
- SemSUM: Semantic Dependency Guided Neural Abstractive Summarization
- Relation Extraction with Convolutional Network over Learnable Syntax-Transport Graph
- Relation Extraction Exploiting Full Dependency Forests
- CFGNN: Cross Flow Graph Neural Networks for Question Answering on Complex Tables
- Learning from the Past: Continual Meta-Learning via Bayesian Graph Modeling
- Hybrid Graph Neural Networks for Crowd Counting
- Online Planner Selection with Graph Neural Networks and Adaptive Scheduling
- Graph Convolutional Networks with Markov Random Field Reasoning for Social Spammer Detection
- GSSNN: Graph Smoothing Splines Neural Network
- Collaborative Graph Convolutional Networks: Unsupervised Learning Meets Semi-Supervised Learning
- Graph-Driven Generative Models for Heterogeneous Multi-Task Learning
- Multi-Task Learning for Metaphor Detection with Graph Convolutional Neural Networks and Word Sense Disambiguation
- Chemically Interpretable Graph Interaction Network for Prediction of Pharmacokinetic Properties of Druglike Molecules
- Learning the Graphical Structure of Electronic Health Records with Graph Convolutional Transformer
- STEP: Spatial Temporal Graph Convolutional Networks for Emotion Perception from Gaits
- Learning-based Efficient Graph Similarity Computation via Multi-Scale Convolutional Set Matching
- A Graph Auto-Encoder for Haplotype Assembly and Viral Quasispecies Reconstruction
- Dynamic Graph Representation for Partially Occluded Biometrics
- Graph-based Transformer with Cross-candidate Verification for Semantic Parsing
- Graph Transformer for Graph-to-Sequence Learning
- Knowledge Graph Alignment Network with Gated Multi-hop Neighborhood Aggregation
- GMAN: A Graph Multi-Attention Network for Traffic Prediction
- Joint Commonsense and Relation Reasoning for Image and Video Captioning
- General Partial Label Learning via Dual Bipartite Graph Autoencoder
- Learning Cross-modal Context Graph for Visual Grounding
- Graph-propagation based Correlation Learning for Weakly Supervised Fine-grained Image Classification
- Universal-RCNN: Universal Object Detector via Transferable Graph R-CNN
- Attribute Propagation Network for Graph Zero-shot Learning
- Zero-shot Ingredient Recognition by Multi-Relational Graph Convolutional Network
- Storytelling from an Image Stream Using Scene Graphs
- Location-aware Graph Convolutional Networks for Video Question Answering
- Reasoning with Heterogeneous Graph Alignment for Video Question Answering
- SOGNet: Scene Overlap Graph Network for Panoptic Segmentation
- Cut-Based Graph Learning networks to Discover Compositional Structure of Sequential Video Data
- Multi-Component Graph Convolutional Collaborative Filtering
- Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach
- Estimating Early Fundraising Performance of Innovations via Graph-based Market Environment Model
- Deep Generative Probabilistic Graph Neural Networks for Scene Graph Generation
- Multi-Range Attentive Bicomponent Graph Convolutional Network for Traffic Forecasting
- Semi-Supervised Hierarchical Recurrent Graph Neural Network for City-Wide Parking Availability Prediction
- Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks
- RoadTagger: Robust Road Attribute Inference with Graph Neural Networks
- Spatio-Temporal Graph Structure Learning for Traffic Forecasting
- Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting
- Multi-Agent Game Abstraction via Graph Attention Neural Network
- Multi-Agent Actor-Critic with Hierarchical Graph Attention Network
- Multi-label Patent Categorization with Non-local Attention-based Graph Convolutional Network
- Neural Graph Embedding for Neural Architecture Search
- Memory Augmented Graph Neural Networks for Sequential Recommendation
- Relation-Aware Pedestrian Attribute Recognition with Graph Convolutional Network
- Part-Level Graph Convolutional Network for Skeleton-Based Action Recognition
- Learning Graph Convolutional Network for Skeleton-based Human Action Recognition by Neural Searching
- Graph Attention based Proposal 3D ConvNets for Action Detection
- Recurrent Attention Walk for Semi-supervised Classification
- Popularity Prediction on Social Platforms with Coupled Graph Neural Networks
- Epidemic Graph Convolutional Network
- All You Need Is Low (Rank): Defending Against Adversarial Attacks on Graphs
- Beyond Statistical Relations: Integrating Knowledge Relations into Style Correlations for Multi-Label Music Style Classification
- MRAEA: An Efficient and Robust Entity Alignment Approach for Cross-lingual Knowledge Graph
- Transferring Robustness for Graph Neural Network Against Poisoning Attacks
- Key Opinion Leaders in Recommendation Systems: Opinion Elicitation and Diffusion
- Relation Learning on Social Networks with Multi-Modal Graph Edge Variational Autoencoders