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Graph Neural Networks

4,495 papers

Papers per year

Papers

Structure-Aware Transformer for Graph Representation Learning ICML 2022
Deep Variational Graph Convolutional Recurrent Network for Multivariate Time Series Anomaly Detection ICML 2022
Optimization-Induced Graph Implicit Nonlinear Diffusion ICML 2022
SE(3) Equivariant Graph Neural Networks with Complete Local Frames ICML 2022
pathGCN: Learning General Graph Spatial Operators from Paths ICML 2022
$p$-Laplacian Based Graph Neural Networks ICML 2022
On the Equivalence Between Temporal and Static Equivariant Graph Representations ICML 2022
Large-Scale Graph Neural Architecture Search ICML 2022
G-Mixup: Graph Data Augmentation for Graph Classification ICML 2022
GNNRank: Learning Global Rankings from Pairwise Comparisons via Directed Graph Neural Networks ICML 2022
Unsupervised Detection of Contextualized Embedding Bias with Application to Ideology ICML 2022
3DLinker: An E(3) Equivariant Variational Autoencoder for Molecular Linker Design ICML 2022
Going Deeper into Permutation-Sensitive Graph Neural Networks ICML 2022
Antibody-Antigen Docking and Design via Hierarchical Structure Refinement ICML 2022
Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations ICML 2022
DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting ICML 2022
Generalization Guarantee of Training Graph Convolutional Networks with Graph Topology Sampling ICML 2022
Let Invariant Rationale Discovery Inspire Graph Contrastive Learning ICML 2022
Finding Global Homophily in Graph Neural Networks When Meeting Heterophily ICML 2022
Boosting Graph Structure Learning with Dummy Nodes ICML 2022
Local Augmentation for Graph Neural Networks ICML 2022
Equivariant Quantum Graph Circuits ICML 2022
Interpretable and Generalizable Graph Learning via Stochastic Attention Mechanism ICML 2022
SpeqNets: Sparsity-aware permutation-equivariant graph networks ICML 2022
Scalable Deep Gaussian Markov Random Fields for General Graphs ICML 2022