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Graph Neural Networks

5,491 papers

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Papers

Conformal Prediction Sets for Graph Neural Networks ICML 2023 CONGREGATE: Contrastive Graph Clustering in Curvature Spaces IJCAI 2023 Connecting the Dots: What Graph-Based Text Representations Work Best for Text Classification using Graph Neural Networks? EMNLP 2023 Constituency Tree Representation for Argument Unit Recognition EMNLP 2023 Content- and Topology-Aware Representation Learning for Scientific Multi-Literature EMNLP 2023 Context-Aware Query Rewriting for Improving Users’ Search Experience on E-commerce Websites ACL 2023 Context-Aware Safe Medication Recommendations with Molecular Graph and DDI Graph Embedding AAAI 2023 Context-enriched molecule representations improve few-shot drug discovery ICLR 2023 Continual Graph Convolutional Network for Text Classification AAAI 2023 Continuous-Discrete Convolution for Geometry-Sequence Modeling in Proteins ICLR 2023 Continuous-Time Graph Learning for Cascade Popularity Prediction IJCAI 2023 ContraNorm: A Contrastive Learning Perspective on Oversmoothing and Beyond ICLR 2023 Contrastive Hierarchical Discourse Graph for Scientific Document Summarization ACL 2023 Contrastive learning for supervised graph matching UAI 2023 Contrastive Learning Meets Homophily: Two Birds with One Stone ICML 2023 Conversational Semantic Parsing using Dynamic Context Graphs EMNLP 2023 Conversation Derailment Forecasting with Graph Convolutional Networks ACL 2023 Conversation Understanding using Relational Temporal Graph Neural Networks with Auxiliary Cross-Modality Interaction EMNLP 2023 CO-PILOT: Dynamic Top-Down Point Cloud with Conditional Neighborhood Aggregation for Multi-Gigapixel Histopathology Image Representation ICCV 2023 Corpus Annotation Graph Builder (CAG): An Architectural Framework to Create and Annotate a Multi-source Graph EACL 2023 Cosmic Microwave Background Recovery: A Graph-Based Bayesian Convolutional Network Approach AAAI 2023 Cross-Domain Few-Shot Graph Classification with a Reinforced Task Coordinator AAAI 2023 CrossGNN: Confronting Noisy Multivariate Time Series Via Cross Interaction Refinement NeurIPS 2023 Cross-links Matter for Link Prediction: Rethinking the Debiased GNN from a Data Perspective NeurIPS 2023 Crowd-Level Abnormal Behavior Detection via Multi-Scale Motion Consistency Learning AAAI 2023