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Graph Neural Networks

4,495 papers

Papers per year

Papers

Towards Understanding and Reducing Graph Structural Noise for GNNs ICML 2023
FAENet: Frame Averaging Equivariant GNN for Materials Modeling ICML 2023
E$(n)$ Equivariant Message Passing Simplicial Networks ICML 2023
Graph Positional Encoding via Random Feature Propagation ICML 2023
Improving Graph Neural Networks with Learnable Propagation Operators ICML 2023
Smart Initial Basis Selection for Linear Programs ICML 2023
Linkless Link Prediction via Relational Distillation ICML 2023
Hierarchical Grammar-Induced Geometry for Data-Efficient Molecular Property Prediction ICML 2023
Graph Neural Networks with Learnable and Optimal Polynomial Bases ICML 2023
GRAFENNE: Learning on Graphs with Heterogeneous and Dynamic Feature Sets ICML 2023
DRew: Dynamically Rewired Message Passing with Delay ICML 2023
Conformal Prediction Sets for Graph Neural Networks ICML 2023
Alternately Optimized Graph Neural Networks ICML 2023
Total Variation Graph Neural Networks ICML 2023
A Generalization of ViT/MLP-Mixer to Graphs ICML 2023
Contrastive Learning Meets Homophily: Two Birds with One Stone ICML 2023
Searching Large Neighborhoods for Integer Linear Programs with Contrastive Learning ICML 2023
Graph Ladling: Shockingly Simple Parallel GNN Training without Intermediate Communication ICML 2023
Leveraging Label Non-Uniformity for Node Classification in Graph Neural Networks ICML 2023
On the Expressive Power of Geometric Graph Neural Networks ICML 2023
Node Embedding from Neural Hamiltonian Orbits in Graph Neural Networks ICML 2023
GOAT: A Global Transformer on Large-scale Graphs ICML 2023
Autoregressive Diffusion Model for Graph Generation ICML 2023
Ewald-based Long-Range Message Passing for Molecular Graphs ICML 2023
Randomized Schur Complement Views for Graph Contrastive Learning ICML 2023