message passing

High dimensional, tabular deep learning with an auxiliary knowledge graph NeurIPS 2023 Incremental 3D Semantic Scene Graph Prediction From RGB Sequences CVPR 2023 Learning Latent Structural Relations With Message Passing Prior WACV 2023 Learning Object Consistency and Interaction in Image Generation from Scene Graphs IJCAI 2023 Learning Symbolic Models for Graph-structured Physical Mechanism ICLR 2023 Learning to Count Isomorphisms with Graph Neural Networks AAAI 2023 LGI-GT: Graph Transformers with Local and Global Operators Interleaving IJCAI 2023 LMC: Fast Training of GNNs via Subgraph Sampling with Provable Convergence ICLR 2023 Local Message Passing on Frustrated Systems UAI 2023 Lower Bounds for the Convergence of Tensor Power Iteration on Random Overcomplete Models COLT 2023 MADNet: Maximizing Addressee Deduction Expectation for Multi-Party Conversation Generation EMNLP 2023 MeGraph: Capturing Long-Range Interactions by Alternating Local and Hierarchical Aggregation on Multi-Scaled Graph Hierarchy NeurIPS 2023 MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization ICLR 2023 Modeling Dynamics over Meshes with Gauge Equivariant Nonlinear Message Passing NeurIPS 2023 Not Only Pairwise Relationships: Fine-Grained Relational Modeling for Multivariate Time Series Forecasting IJCAI 2023 NuTrea: Neural Tree Search for Context-guided Multi-hop KGQA NeurIPS 2023 On the Initialization of Graph Neural Networks ICML 2023 Optimality of Message-Passing Architectures for Sparse Graphs NeurIPS 2023 Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing ICLR 2023 Probing Graph Representations AISTATS 2023 Revisiting Over-smoothing and Over-squashing Using Ollivier-Ricci Curvature ICML 2023 Revisiting Structured Variational Autoencoders ICML 2023 Scalable Communication for Multi-Agent Reinforcement Learning via Transformer-Based Email Mechanism IJCAI 2023 SeedGNN: Graph Neural Network for Supervised Seeded Graph Matching ICML 2023 Self-Attention Message Passing for Contrastive Few-Shot Learning WACV 2023