Graph Neural Networks

Optimization Framework for Semi-supervised Attributed Graph Coarsening UAI 2024 Predicting Housing Transaction with Common Covariance GNNs IJCAI 2024 Preserving Spatial-Temporal Relationship with Adaptive Node Sampling in Hierarchical Dynamic Graph Transformers ACML 2024 Probabilistic Graph Rewiring via Virtual Nodes NeurIPS 2024 Provably Powerful Graph Neural Networks for Directed Multigraphs AAAI 2024 P-tensors: a General Framework for Higher Order Message Passing in Subgraph Neural Networks AISTATS 2024 Pure Message Passing Can Estimate Common Neighbor for Link Prediction NeurIPS 2024 Pygmtools: A Python Graph Matching Toolkit JMLR 2024 PyGOD: A Python Library for Graph Outlier Detection JMLR 2024 Recurrent Graph Neural Networks and Their Connections to Bisimulation and Logic AAAI 2024 Refining Latent Homophilic Structures over Heterophilic Graphs for Robust Graph Convolution Networks AAAI 2024 ReGCL: Rethinking Message Passing in Graph Contrastive Learning AAAI 2024 RegExplainer: Generating Explanations for Graph Neural Networks in Regression Tasks NeurIPS 2024 Relational Concept Bottleneck Models NeurIPS 2024 Replay-and-Forget-Free Graph Class-Incremental Learning: A Task Profiling and Prompting Approach NeurIPS 2024 Residual Hyperbolic Graph Convolution Networks AAAI 2024 Review-Enhanced Hierarchical Contrastive Learning for Recommendation AAAI 2024 Robust Offline Active Learning on Graphs NeurIPS 2024 Robust Stochastic Graph Generator for Counterfactual Explanations AAAI 2024 ROG_PL: Robust Open-Set Graph Learning via Region-Based Prototype Learning AAAI 2024 SAT-Based Algorithms for Regular Graph Pattern Matching AAAI 2024 Schur Nets: exploiting local structure for equivariance in higher order graph neural networks NeurIPS 2024 SEA-GWNN: Simple and Effective Adaptive Graph Wavelet Neural Network AAAI 2024 Second-Order Graph ODEs for Multi-Agent Trajectory Forecasting WACV 2024 Self-Supervised Heterogeneous Graph Learning: a Homophily and Heterogeneity View ICLR 2024