graph neural network

DropMessage: Unifying Random Dropping for Graph Neural Networks AAAI 2023 DrugOOD: Out-of-Distribution Dataset Curator and Benchmark for AI-Aided Drug Discovery – a Focus on Affinity Prediction Problems with Noise Annotations AAAI 2023 Dual Class Knowledge Propagation Network for Multi-label Few-shot Intent Detection ACL 2023 Dual Label-Guided Graph Refinement for Multi-View Graph Clustering AAAI 2023 Dynamic Graph Learning With Content-Guided Spatial-Frequency Relation Reasoning for Deepfake Detection CVPR 2023 Dynamic Group Link Prediction in Continuous-Time Interaction Network IJCAI 2023 Dynamic Heterogeneous Graph Attention Neural Architecture Search AAAI 2023 Dynamic Heterogeneous-Graph Reasoning with Language Models and Knowledge Representation Learning for Commonsense Question Answering ACL 2023 Dynamic Offset Metric on Heterogeneous Information Networks for Cold-start Recommendation ACML 2023 Dynamic Representation Learning with Temporal Point Processes for Higher-Order Interaction Forecasting AAAI 2023 Dynamic-Resolution Model Learning for Object Pile Manipulation RSS 2023 E$(n)$ Equivariant Message Passing Simplicial Networks ICML 2023 EAGLE: Large-scale Learning of Turbulent Fluid Dynamics with Mesh Transformers ICLR 2023 Easy Begun Is Half Done: Spatial-Temporal Graph Modeling with ST-Curriculum Dropout AAAI 2023 Edge-Aware Regional Message Passing Controller for Image Forgery Localization CVPR 2023 Edgeformers: Graph-Empowered Transformers for Representation Learning on Textual-Edge Networks ICLR 2023 EEGNN: Edge Enhanced Graph Neural Network with a Bayesian Nonparametric Graph Model AISTATS 2023 EEG to fMRI Synthesis Benefits from Attentional Graphs of Electrode Relationships MLHC 2023 Efficient and Equivariant Graph Networks for Predicting Quantum Hamiltonian ICML 2023 Efficient Approximations of Complete Interatomic Potentials for Crystal Property Prediction ICML 2023 Efficient Deep Space Filling Curve ICCV 2023 Efficient Learning of Linear Graph Neural Networks via Node Subsampling NeurIPS 2023 Efficient Learning of Mesh-Based Physical Simulation with Bi-Stride Multi-Scale Graph Neural Network ICML 2023 Efficiently Forgetting What You Have Learned in Graph Representation Learning via Projection AISTATS 2023 Efficiently incorporating quintuple interactions into geometric deep learning force fields NeurIPS 2023