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Graph Neural Networks

4,495 papers

Papers per year

Papers

Graph Neural Tangent Kernel: Convergence on Large Graphs ICML 2023
Towards Deep Attention in Graph Neural Networks: Problems and Remedies ICML 2023
Conditional Graph Information Bottleneck for Molecular Relational Learning ICML 2023
Learning Preconditioners for Conjugate Gradient PDE Solvers ICML 2023
Local Vertex Colouring Graph Neural Networks ICML 2023
On the Initialization of Graph Neural Networks ICML 2023
GraphCleaner: Detecting Mislabelled Samples in Popular Graph Learning Benchmarks ICML 2023
Generating Novel, Designable, and Diverse Protein Structures by Equivariantly Diffusing Oriented Residue Clouds ICML 2023
Efficient Approximations of Complete Interatomic Potentials for Crystal Property Prediction ICML 2023
Graph Mixup with Soft Alignments ICML 2023
Deep Graph Representation Learning and Optimization for Influence Maximization ICML 2023
Learning Representations without Compositional Assumptions ICML 2023
Structural Re-weighting Improves Graph Domain Adaptation ICML 2023
Dink-Net: Neural Clustering on Large Graphs ICML 2023
Graph Switching Dynamical Systems ICML 2023
RSC: Accelerate Graph Neural Networks Training via Randomized Sparse Computations ICML 2023
FusionRetro: Molecule Representation Fusion via In-Context Learning for Retrosynthetic Planning ICML 2023
D2Match: Leveraging Deep Learning and Degeneracy for Subgraph Matching ICML 2023
Graph Inductive Biases in Transformers without Message Passing ICML 2023
Generated Graph Detection ICML 2023
Vertical Federated Graph Neural Network for Recommender System ICML 2023
Path Neural Networks: Expressive and Accurate Graph Neural Networks ICML 2023
Disentangled Multiplex Graph Representation Learning ICML 2023
WL meet VC ICML 2023
Efficiently predicting high resolution mass spectra with graph neural networks ICML 2023