Graph Neural Networks
5,491 papers
Papers per year
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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