Graph Neural Networks

A Diffusion Model for Event Skeleton Generation ACL 2023 Adversarially Robust Neural Architecture Search for Graph Neural Networks CVPR 2023 Adversarial Robustness in Graph Neural Networks: A Hamiltonian Approach NeurIPS 2023 Adversarial Training for Graph Neural Networks: Pitfalls, Solutions, and New Directions NeurIPS 2023 Adversarial Weight Perturbation Improves Generalization in Graph Neural Networks AAAI 2023 Affinity-Aware Graph Networks NeurIPS 2023 A Fractional Graph Laplacian Approach to Oversmoothing NeurIPS 2023 A Fused Gromov-Wasserstein Framework for Unsupervised Knowledge Graph Entity Alignment ACL 2023 A Generalization of ViT/MLP-Mixer to Graphs ICML 2023 A Generalized Deep Markov Random Fields Framework for Fake News Detection IJCAI 2023 Agent-based Graph Neural Networks ICLR 2023 A Geometric Deep Learning Framework for Generation of Virtual Left Ventricles as Graphs MIDL 2023 A GNN-Guided Predict-and-Search Framework for Mixed-Integer Linear Programming ICLR 2023 A Graph Fusion Approach for Cross-Lingual Machine Reading Comprehension AAAI 2023 A Graph Neural Network Approach to Automated Model Building in Cryo-EM Maps ICLR 2023 A graphon-signal analysis of graph neural networks NeurIPS 2023 A Gromov-Wasserstein Geometric View of Spectrum-Preserving Graph Coarsening ICML 2023 A Hierarchical Training Paradigm for Antibody Structure-sequence Co-design NeurIPS 2023 All in a Row: Compressed Convolution Networks for Graphs ICML 2023 Alternately Optimized Graph Neural Networks ICML 2023 AMAG: Additive, Multiplicative and Adaptive Graph Neural Network For Forecasting Neuron Activity NeurIPS 2023 A Message Passing Perspective on Learning Dynamics of Contrastive Learning ICLR 2023 A Metadata-Driven Approach to Understand Graph Neural Networks NeurIPS 2023 An Actor-Centric Causality Graph for Asynchronous Temporal Inference in Group Activity CVPR 2023 An AMR-based Link Prediction Approach for Document-level Event Argument Extraction ACL 2023