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Graph Neural Networks

4,495 papers

Papers per year

Papers

A Theoretical Comparison of Graph Neural Network Extensions ICML 2022
Pocket2Mol: Efficient Molecular Sampling Based on 3D Protein Pockets ICML 2022
Graph Neural Architecture Search Under Distribution Shifts ICML 2022
Learning to Infer Structures of Network Games ICML 2022
Graph-Coupled Oscillator Networks ICML 2022
3D Infomax improves GNNs for Molecular Property Prediction ICML 2022
EquiBind: Geometric Deep Learning for Drug Binding Structure Prediction ICML 2022
Rethinking Graph Neural Networks for Anomaly Detection ICML 2022
Cross-Space Active Learning on Graph Convolutional Networks ICML 2022
VarScene: A Deep Generative Model for Realistic Scene Graph Synthesis ICML 2022
Model-based Meta Reinforcement Learning using Graph Structured Surrogate Models and Amortized Policy Search ICML 2022
How Powerful are Spectral Graph Neural Networks ICML 2022
Structural Entropy Guided Graph Hierarchical Pooling ICML 2022
ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning ICML 2022
Self-Supervised Representation Learning via Latent Graph Prediction ICML 2022
Efficient Computation of Higher-Order Subgraph Attribution via Message Passing ICML 2022
Cycle Representation Learning for Inductive Relation Prediction ICML 2022
Omni-Granular Ego-Semantic Propagation for Self-Supervised Graph Representation Learning ICML 2022
A New Perspective on the Effects of Spectrum in Graph Neural Networks ICML 2022
Molecular Representation Learning via Heterogeneous Motif Graph Neural Networks ICML 2022
Topology-Aware Network Pruning using Multi-stage Graph Embedding and Reinforcement Learning ICML 2022
GraphFM: Improving Large-Scale GNN Training via Feature Momentum ICML 2022
Role-based Multiplex Network Embedding ICML 2022
Deep and Flexible Graph Neural Architecture Search ICML 2022
NAFS: A Simple yet Tough-to-beat Baseline for Graph Representation Learning ICML 2022