Graph Neural Networks

Causal-Based Supervision of Attention in Graph Neural Network: A Better and Simpler Choice towards Powerful Attention IJCAI 2023 Certifiably Robust Graph Contrastive Learning NeurIPS 2023 Characterizing and Verifying Scientific Claims: Qualitative Causal Structure is All You Need EMNLP 2023 Characterizing Graph Datasets for Node Classification: Homophily-Heterophily Dichotomy and Beyond NeurIPS 2023 Characterizing personalized effects of family information on disease risk using graph representation learning MLHC 2023 Characterizing the Influence of Graph Elements ICLR 2023 Chasing All-Round Graph Representation Robustness: Model, Training, and Optimization ICLR 2023 CheckerPose: Progressive Dense Keypoint Localization for Object Pose Estimation with Graph Neural Network ICCV 2023 CHEER: Centrality-aware High-order Event Reasoning Network for Document-level Event Causality Identification ACL 2023 CIGAR: Cross-Modality Graph Reasoning for Domain Adaptive Object Detection CVPR 2023 CktGNN: Circuit Graph Neural Network for Electronic Design Automation ICLR 2023 Clinical Note Owns its Hierarchy: Multi-Level Hypergraph Neural Networks for Patient-Level Representation Learning ACL 2023 ClusterFuG: Clustering Fully connected Graphs by Multicut ICML 2023 Cluster-Guided Contrastive Graph Clustering Network AAAI 2023 CNN2Graph: Building Graphs for Image Classification WACV 2023 CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph Classification ICML 2023 Coherent Probabilistic Forecasting of Temporal Hierarchies AISTATS 2023 Combating Bilateral Edge Noise for Robust Link Prediction NeurIPS 2023 Combinatorial Optimization and Reasoning with Graph Neural Networks JMLR 2023 Commonsense Knowledge Graph Completion Via Contrastive Pretraining and Node Clustering ACL 2023 Complexity-Guided Curriculum Learning for Text Graphs EMNLP 2023 Compressed Heterogeneous Graph for Abstractive Multi-Document Summarization AAAI 2023 Conditional Antibody Design as 3D Equivariant Graph Translation ICLR 2023 Conditional Graph Information Bottleneck for Molecular Relational Learning ICML 2023 Confidence-Based Feature Imputation for Graphs with Partially Known Features ICLR 2023