Graph Neural Networks

Learning Situation Hyper-Graphs for Video Question Answering CVPR 2023 Learning Subpocket Prototypes for Generalizable Structure-based Drug Design ICML 2023 Learning Symbolic Models for Graph-structured Physical Mechanism ICLR 2023 Learning to Count Isomorphisms with Graph Neural Networks AAAI 2023 Learning to CROSS exchange to solve min-max vehicle routing problems ICLR 2023 Learning To Dive In Branch And Bound NeurIPS 2023 Learning to Group Auxiliary Datasets for Molecule NeurIPS 2023 Learning Topology-Specific Experts for Molecular Property Prediction AAAI 2023 Let Graph Be the Go Board: Gradient-Free Node Injection Attack for Graph Neural Networks via Reinforcement Learning AAAI 2023 Leveraging Label Non-Uniformity for Node Classification in Graph Neural Networks ICML 2023 Leveraging Spatio-Temporal Dependency for Skeleton-Based Action Recognition ICCV 2023 LGI-GT: Graph Transformers with Local and Global Operators Interleaving IJCAI 2023 Lifelong Embedding Learning and Transfer for Growing Knowledge Graphs AAAI 2023 LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation ICLR 2023 Limitless Stability for Graph Convolutional Networks ICLR 2023 Limits, approximation and size transferability for GNNs on sparse graphs via graphops NeurIPS 2023 Linking Sketch Patches by Learning Synonymous Proximity for Graphic Sketch Representation AAAI 2023 Linkless Link Prediction via Relational Distillation ICML 2023 Link Prediction with Non-Contrastive Learning ICLR 2023 LMC: Fast Training of GNNs via Subgraph Sampling with Provable Convergence ICLR 2023 Local and Global: Temporal Question Answering via Information Fusion IJCAI 2023 Local-Global Defense against Unsupervised Adversarial Attacks on Graphs AAAI 2023 Local Vertex Colouring Graph Neural Networks ICML 2023 Logical Message Passing Networks with One-hop Inference on Atomic Formulas ICLR 2023 Logic Error Localization and Correction with Machine Learning (Student Abstract) AAAI 2023