conftrace_

message passing neural network

37 papers

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Also known as

MPNN

Co-occurring keywords

graph neural network (3962) message passing (579) molecular graph (58) molecular property prediction (84) equivariant neural network (75) knowledge graph completion (240) interatomic potential (6) heterogeneous graph (217) drug discovery (119) node classification (482)

Papers

Faithful and Accurate Self-Attention Attribution for Message Passing Neural Networks via the Computation Tree Viewpoint AAAI 2025
Association Pattern-enhanced Molecular Representation Learning AAAI 2025
What Can We Learn From MIMO Graph Convolutions? IJCAI 2025
Coupling Category Alignment for Graph Domain Adaptation IJCAI 2025
Transformers from Diffusion: A Unified Framework for Neural Message Passing JMLR 2025
Learning-Based Spotlight Position Optimization for Non-Line-of-Sight Human Localization and Posture Classification WACV 2024
Learning on Large Graphs using Intersecting Communities NIPS 2024
Pure Message Passing Can Estimate Common Neighbor for Link Prediction NIPS 2024
Theory-guided Message Passing Neural Network for Probabilistic Inference AISTATS 2024
Unbiased Heterogeneous Scene Graph Generation with Relation-Aware Message Passing Neural Network AAAI 2023
Are Message Passing Neural Networks Really Helpful for Knowledge Graph Completion? ACL 2023
Is Distance Matrix Enough for Geometric Deep Learning? NIPS 2023
On Over-Squashing in Message Passing Neural Networks: The Impact of Width, Depth, and Topology ICML 2023
From Relational Pooling to Subgraph GNNs: A Universal Framework for More Expressive Graph Neural Networks ICML 2023
Ewald-based Long-Range Message Passing for Molecular Graphs ICML 2023
On the Connection Between MPNN and Graph Transformer ICML 2023
Equivariant Message Passing Neural Network for Crystal Material Discovery AAAI 2023
Wasserstein Barycenter Matching for Graph Size Generalization of Message Passing Neural Networks ICML 2023
Efficient Approximations of Complete Interatomic Potentials for Crystal Property Prediction ICML 2023
TensorNet: Cartesian Tensor Representations for Efficient Learning of Molecular Potentials NIPS 2023
So3krates: Equivariant attention for interactions on arbitrary length-scales in molecular systems NIPS 2022
Graph Convolutional Networks with Dual Message Passing for Subgraph Isomorphism Counting and Matching AAAI 2022
Generalization Analysis of Message Passing Neural Networks on Large Random Graphs NIPS 2022
MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields NIPS 2022
A Practical, Progressively-Expressive GNN NIPS 2022