message passing

Efficient Learning of Mesh-Based Physical Simulation with Bi-Stride Multi-Scale Graph Neural Network ICML 2023 Equivariant Hypergraph Diffusion Neural Operators ICLR 2023 Exphormer: Sparse Transformers for Graphs ICML 2023 Exploiting Inferential Structure in Neural Processes UAI 2023 Expressivity-Preserving GNN Simulation NeurIPS 2023 Extending the Design Space of Graph Neural Networks by Rethinking Folklore Weisfeiler-Lehman NeurIPS 2023 Factor Graph Neural Networks JMLR 2023 Federated Learning as Variational Inference: A Scalable Expectation Propagation Approach ICLR 2023 Fine-grained Expressivity of Graph Neural Networks NeurIPS 2023 From Node Interaction To Hop Interaction: New Effective and Scalable Graph Learning Paradigm CVPR 2023 From Relational Pooling to Subgraph GNNs: A Universal Framework for More Expressive Graph Neural Networks ICML 2023 GarSim: Particle Based Neural Garment Simulator WACV 2023 Generalised f-Mean Aggregation for Graph Neural Networks NeurIPS 2023 GNNInterpreter: A Probabilistic Generative Model-Level Explanation for Graph Neural Networks ICLR 2023 GOGGLE: Generative Modelling for Tabular Data by Learning Relational Structure ICLR 2023 Gradient Gating for Deep Multi-Rate Learning on Graphs ICLR 2023 GRAFENNE: Learning on Graphs with Heterogeneous and Dynamic Feature Sets ICML 2023 Graph Inductive Biases in Transformers without Message Passing ICML 2023 Graph Neural Convection-Diffusion with Heterophily IJCAI 2023 Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs ICLR 2023 Graph Neural Networks for Link Prediction with Subgraph Sketching ICLR 2023 Graph Ordering Attention Networks AAAI 2023 GReTo: Remedying dynamic graph topology-task discordance via target homophily ICLR 2023 Grounding Scene Graphs on Natural Images via Visio-Lingual Message Passing WACV 2023 Half-Hop: A graph upsampling approach for slowing down message passing ICML 2023