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Graph Neural Networks

4495 directly classified papers

Papers per year

Papers

Node Embedding from Neural Hamiltonian Orbits in Graph Neural Networks ICML 2023
On the Expressive Power of Geometric Graph Neural Networks ICML 2023
Leveraging Label Non-Uniformity for Node Classification in Graph Neural Networks ICML 2023
Graph Ladling: Shockingly Simple Parallel GNN Training without Intermediate Communication ICML 2023
Contrastive Learning Meets Homophily: Two Birds with One Stone ICML 2023
Total Variation Graph Neural Networks ICML 2023
Alternately Optimized Graph Neural Networks ICML 2023
Conformal Prediction Sets for Graph Neural Networks ICML 2023
DRew: Dynamically Rewired Message Passing with Delay ICML 2023
GRAFENNE: Learning on Graphs with Heterogeneous and Dynamic Feature Sets ICML 2023
Graph Neural Networks with Learnable and Optimal Polynomial Bases ICML 2023
Hierarchical Grammar-Induced Geometry for Data-Efficient Molecular Property Prediction ICML 2023
Linkless Link Prediction via Relational Distillation ICML 2023
Smart Initial Basis Selection for Linear Programs ICML 2023
PPAT: Progressive Graph Pairwise Attention Network for Event Causality Identification IJCAI 2023
Improving Graph Neural Networks with Learnable Propagation Operators ICML 2023
E$(n)$ Equivariant Message Passing Simplicial Networks ICML 2023
Towards Understanding and Reducing Graph Structural Noise for GNNs ICML 2023
Improving Graph Generation by Restricting Graph Bandwidth ICML 2023
On Over-Squashing in Message Passing Neural Networks: The Impact of Width, Depth, and Topology ICML 2023
Relevant Walk Search for Explaining Graph Neural Networks ICML 2023
Implications of sparsity and high triangle density for graph representation learning AISTATS 2023
Implicit Graphon Neural Representation AISTATS 2023
The Power of Recursion in Graph Neural Networks for Counting Substructures AISTATS 2023
SubMix: Learning to Mix Graph Sampling Heuristics UAI 2023