Graph Neural Networks

Learning Preconditioners for Conjugate Gradient PDE Solvers ICML 2023 Learning Query Adaptive Anchor Representation for Inductive Relation Prediction ACL 2023 Learning Subpocket Prototypes for Generalizable Structure-based Drug Design ICML 2023 Learning to Count Isomorphisms with Graph Neural Networks AAAI 2023 Learning to Leverage High-Order Medical Knowledge Graph for Joint Entity and Relation Extraction ACL 2023 Leveraging Label Non-Uniformity for Node Classification in Graph Neural Networks ICML 2023 LGI-GT: Graph Transformers with Local and Global Operators Interleaving IJCAI 2023 Limits, approximation and size transferability for GNNs on sparse graphs via graphops NeurIPS 2023 Local Vertex Colouring Graph Neural Networks ICML 2023 Maximum Independent Set: Self-Training through Dynamic Programming NeurIPS 2023 Medical Dialogue Generation via Dual Flow Modeling ACL 2023 Multi-level Graph Contrastive Prototypical Clustering IJCAI 2023 Multivariate, Multi-Frequency and Multimodal: Rethinking Graph Neural Networks for Emotion Recognition in Conversation CVPR 2023 Multi-View MOOC Quality Evaluation via Information-Aware Graph Representation Learning AAAI 2023 Multi-View Robust Graph Representation Learning for Graph Classification IJCAI 2023 Neighbor Auto-Grouping Graph Neural Networks for Handover Parameter Configuration in Cellular Network AAAI 2023 Neighbor Contrastive Learning on Learnable Graph Augmentation AAAI 2023 Neighborhood-Regularized Self-Training for Learning with Few Labels AAAI 2023 Nested Named Entity Recognition as Building Local Hypergraphs AAAI 2023 Neural Injective Functions for Multisets, Measures and Graphs via a Finite Witness Theorem NeurIPS 2023 On Class Distributions Induced by Nearest Neighbor Graphs for Node Classification of Tabular Data NeurIPS 2023 On Generalized Degree Fairness in Graph Neural Networks AAAI 2023 On the Expressive Power of Geometric Graph Neural Networks ICML 2023 On the Initialization of Graph Neural Networks ICML 2023 Optimality of Message-Passing Architectures for Sparse Graphs NeurIPS 2023