message passing neural network

Association Pattern-enhanced Molecular Representation Learning AAAI 2025 Best of Both Worlds: Advantages of Hybrid Graph Sequence Models ICML 2025 Coupling Category Alignment for Graph Domain Adaptation IJCAI 2025 Faithful and Accurate Self-Attention Attribution for Message Passing Neural Networks via the Computation Tree Viewpoint AAAI 2025 Griffin: Towards a Graph-Centric Relational Database Foundation Model ICML 2025 Homomorphism Counts as Structural Encodings for Graph Learning ICLR 2025 Improving the Effective Receptive Field of Message-Passing Neural Networks ICML 2025 On the Expressive Power of Sparse Geometric MPNNs ICLR 2025 On the Hölder Stability of Multiset and Graph Neural Networks ICLR 2025 Revisiting Random Walks for Learning on Graphs ICLR 2025 Towards a Complete Logical Framework for GNN Expressiveness ICLR 2025 Transformers from Diffusion: A Unified Framework for Neural Message Passing JMLR 2025 Uncertainty Estimation for Heterophilic Graphs Through the Lens of Information Theory ICML 2025 Understanding Virtual Nodes: Oversquashing and Node Heterogeneity ICLR 2025 What Can We Learn From MIMO Graph Convolutions? IJCAI 2025 WILTing Trees: Interpreting the Distance Between MPNN Embeddings ICML 2025 Equivariant Matrix Function Neural Networks ICLR 2024 Learning-Based Spotlight Position Optimization for Non-Line-of-Sight Human Localization and Posture Classification WACV 2024 Learning on Large Graphs using Intersecting Communities NeurIPS 2024 Neural Common Neighbor with Completion for Link Prediction ICLR 2024 Probabilistically Rewired Message-Passing Neural Networks ICLR 2024 Pure Message Passing Can Estimate Common Neighbor for Link Prediction NeurIPS 2024 Scene Graph Generation Strategy with Co-occurrence Knowledge and Learnable Term Frequency ICML 2024 Theory-guided Message Passing Neural Network for Probabilistic Inference AISTATS 2024 Verifying message-passing neural networks via topology-based bounds tightening ICML 2024