- Combining Label Propagation and Simple Models out-performs Graph Neural Networks
- How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision
- Adaptive Universal Generalized PageRank Graph Neural Network
- On the Bottleneck of Graph Neural Networks and its Practical Implications
- Simple Spectral Graph Convolution
- AdaGCN: Adaboosting Graph Convolutional Networks into Deep Models
- Boost then Convolve: Gradient Boosting Meets Graph Neural Networks
- Learning Parametrised Graph Shift Operators
- Graph Coarsening with Neural Networks
- Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective
- On Graph Neural Networks versus Graph-Augmented MLPs
- Expressive Power of Invariant and Equivariant Graph Neural Networks
- Graph Convolution with Low-rank Learnable Local Filters
- How Neural Networks Extrapolate: From Feedforward to Graph Neural Networks
- A PAC-Bayesian Approach to Generalization Bounds for Graph Neural Networks
- INT: An Inequality Benchmark for Evaluating Generalization in Theorem Proving
- Graph Traversal with Tensor Functionals: A Meta-Algorithm for Scalable Learning
- Degree-Quant: Quantization-Aware Training for Graph Neural Networks
- Wasserstein Embedding for Graph Learning
- Accurate Learning of Graph Representations with Graph Multiset Pooling
- Retrieval-Augmented Generation for Code Summarization via Hybrid GNN
- GraphCodeBERT: Pre-training Code Representations with Data Flow
- Language-Agnostic Representation Learning of Source Code from Structure and Context
- Spatio-Temporal Graph Scattering Transform
- Learning continuous-time PDEs from sparse data with graph neural networks
- Inductive Representation Learning in Temporal Networks via Causal Anonymous Walks
- Explainable Subgraph Reasoning for Forecasting on Temporal Knowledge Graphs
- Generative Scene Graph Networks
- Learning Reasoning Paths over Semantic Graphs for Video-grounded Dialogues
- DialoGraph: Incorporating Interpretable Strategy-Graph Networks into Negotiation Dialogues
- Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking
- Conformation-Guided Molecular Representation with Hamiltonian Neural Networks
- MARS: Markov Molecular Sampling for Multi-objective Drug Discovery
- Learning from Protein Structure with Geometric Vector Perceptrons
- Intrinsic-Extrinsic Convolution and Pooling for Learning on 3D Protein Structures
- Neural representation and generation for RNA secondary structures
- Grounding Physical Object and Event Concepts Through Dynamic Visual Reasoning
- Combining Physics and Machine Learning for Network Flow Estimation
- Isometric Transformation Invariant and Equivariant Graph Convolutional Networks
- Learning Mesh-Based Simulation with Graph Networks
- Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric graphs
- Learning to Represent Action Values as a Hypergraph on the Action Vertices
- Winning the L2RPN Challenge: Power Grid Management via Semi-Markov Afterstate Actor-Critic
- My Body is a Cage: the Role of Morphology in Graph-Based Incompatible Control
- Optimizing Memory Placement using Evolutionary Graph Reinforcement Learning