- Message Passing for Hyper-Relational Knowledge Graphs
- Adaptive Attentional Network for Few-Shot Knowledge Graph Completion
- Disentangle-based Continual Graph Representation Learning
- Recurrent Event Network: Autoregressive Structure Inference over Temporal Knowledge Graphs
- TeMP: Temporal Message Passing for Temporal Knowledge Graph Completion
- Exploring and Evaluating Attributes, Values, and Structures for Entity Alignment
- Knowledge Graph Alignment with Entity-Pair Embedding
- Knowledge Association with Hyperbolic Knowledge Graph Embeddings
- H2KGAT: Hierarchical Hyperbolic Knowledge Graph Attention Network
- Hierarchical Graph Network for Multi-hop Question Answering
- Neural Extractive Summarization with Hierarchical Attentive Heterogeneous Graph Network
- HENIN: Learning Heterogeneous Neural Interaction Networks for Explainable Cyberbullying Detection on Social Media
- Sentiment Analysis of Tweets Using Heterogeneous Multi-layer Network Representation and Embedding
- Convolution over Hierarchical Syntactic and Lexical Graphs for Aspect Level Sentiment Analysis
- Introducing Syntactic Structures into Target Opinion Word Extraction with Deep Learning
- Inducing Target-specific Latent Structures for Aspect Sentiment Classification
- Relation-aware Graph Attention Networks with Relational Position Encodings for Emotion Recognition in Conversations
- AttnIO: Knowledge Graph Exploration with In-and-Out Attention Flow for Knowledge-Grounded Dialogue
- A Knowledge-Aware Sequence-to-Tree Network for Math Word Problem Solving
- Exploiting Structured Knowledge in Text via Graph-Guided Representation Learning
- Knowledge Graph Empowered Entity Description Generation
- KGLM: Pretrained Knowledge-Grounded Language Model for Data-to-Text Generation
- Lightweight, Dynamic Graph Convolutional Networks for AMR-to-Text Generation
- Online Back-Parsing for AMR-to-Text Generation
- Be More with Less: Hypergraph Attention Networks for Inductive Text Classification
- Text Graph Transformer for Document Classification
- An Empirical Study on Large-Scale Multi-Label Text Classification Including Few and Zero-Shot Labels
- Multi-label Few/Zero-shot Learning with Knowledge Aggregated from Multiple Label Graphs
- GraphDialog: Integrating Graph Knowledge into End-to-End Task-Oriented Dialogue Systems
- GRADE: Automatic Graph-Enhanced Coherence Metric for Evaluating Open-Domain Dialogue Systems
- Scalable Multi-Hop Relational Reasoning for Knowledge-Aware Question Answering
- Question Directed Graph Attention Network for Numerical Reasoning over Text
- Language Generation with Multi-Hop Reasoning on Commonsense Knowledge Graph
- Is Graph Structure Necessary for Multi-hop Reasoning?
- Distilling Structured Knowledge for Text-Based Relational Reasoning
- Towards Medical Machine Reading Comprehension with Structural Knowledge and Plain Text
- Scene Restoring for Narrative Machine Reading Comprehension
- Global-to-Local Neural Networks for Document-Level Relation Extraction
- Double Graph Based Reasoning for Document-level Relation Extraction
- SRLGRN: Semantic Role Labeling Graph Reasoning Network
- Graph Convolutions over Constituent Trees for Syntax-Aware Semantic Role Labeling
- Neural Topic Modeling by Incorporating Document Relationship Graph
- Supertagging Combinatory Categorial Grammar with Attentive Graph Convolutional Networks
- Event Detection: Gate Diversity and Syntactic Importance Scores for Graph Convolution Neural Networks
- Program Enhanced Fact Verification with Verbalization and Graph Attention Network
- Learn to Cross-lingual Transfer with Meta Graph Learning across Heterogeneous Languages
- VolTAGE: Volatility Forecasting via Text-Audio Fusion with Graph Convolution Networks for Earnings Calls
- Neural Deepfake Detection with Factual Structure of Text
- Deep Attentive Learning for Stock Movement Prediction from Social Media Text and Company Correlations