graph neural network

Revisiting Graph Adversarial Attack and Defense From a Data Distribution Perspective ICLR 2023 Revisiting Item Promotion in GNN-Based Collaborative Filtering: A Masked Targeted Topological Attack Perspective AAAI 2023 Revisiting Over-smoothing and Over-squashing Using Ollivier-Ricci Curvature ICML 2023 Revisiting Robustness in Graph Machine Learning ICLR 2023 RGE: A Repulsive Graph Rectification for Node Classification via Influence ICML 2023 RHGN: Relation-gated Heterogeneous Graph Network for Entity Alignment in Knowledge Graphs ACL 2023 Ripple: Concept-Based Interpretation for Raw Time Series Models in Education AAAI 2023 RLSAC: Reinforcement Learning Enhanced Sample Consensus for End-to-End Robust Estimation ICCV 2023 RoboCook: Long-Horizon Elasto-Plastic Object Manipulation with Diverse Tools CoRL 2023 Robust Causal Graph Representation Learning against Confounding Effects AAAI 2023 Robust Graph Meta-Learning via Manifold Calibration with Proxy Subgraphs AAAI 2023 RSC: Accelerate Graph Neural Networks Training via Randomized Sparse Computations ICML 2023 SAD: Semi-Supervised Anomaly Detection on Dynamic Graphs IJCAI 2023 SAME: Uncovering GNN Black Box with Structure-aware Shapley-based Multipiece Explanations NeurIPS 2023 Sample-efficient Multi-objective Molecular Optimization with GFlowNets NeurIPS 2023 Sampling Is Matter: Point-Guided 3D Human Mesh Reconstruction CVPR 2023 Sancus: Staleness-Aware Communication-Avoiding Full-Graph Decentralized Training in Large-Scale Graph Neural Networks (Extended Abstract) IJCAI 2023 SANGEA: Scalable and Attributed Network Generation ACML 2023 Scalable Attributed-Graph Subspace Clustering AAAI 2023 Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation ICML 2023 Scalable Spatiotemporal Graph Neural Networks AAAI 2023 Scalable Theory-Driven Regularization of Scene Graph Generation Models AAAI 2023 Scaling Spherical CNNs ICML 2023 SEAG: Structure-Aware Event Causality Generation ACL 2023 Searching Lottery Tickets in Graph Neural Networks: A Dual Perspective ICLR 2023