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Graph Neural Network

Papers

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Showing 1726–1750 of 3598 papers

TitleStatusHype
Hierarchical Bipartite Graph Convolution Networks—0
DOVA-PATBM: An Intelligent, Adaptive, and Scalable Framework for Optimizing Large-Scale EV Charging Infrastructure—0
Boundary Content Graph Neural Network for Temporal Action Proposal Generation—0
DoubleH: Twitter User Stance Detection via Bipartite Graph Neural Networks—0
Multimodal Audio-Visual Information Fusion using Canonical-Correlated Graph Neural Network for Energy-Efficient Speech Enhancement—0
HGFormer: A Hierarchical Graph Transformer Framework for Two-Stage Colonel Blotto Games via Reinforcement Learning—0
Heterogeneous Graph Neural Network on Semantic Tree—0
HetFS: A Method for Fast Similarity Search with Ad-hoc Meta-paths on Heterogeneous Information Networks—0
Boosting Neural Networks to Decompile Optimized Binaries—0
Heterophily-Based Graph Neural Network for Imbalanced Classification—0
Heterophilic Graph Neural Networks Optimization with Causal Message-passing—0
Heterogeneous Similarity Graph Neural Network on Electronic Health Records—0
Training Graph Neural Networks Using Non-Robust Samples—0
A multimedia recommendation model based on collaborative graph—0
A Discourse-Aware Graph Neural Network for Emotion Recognition in Multi-Party Conversation—0
Heterogeneous Relational Reasoning in Knowledge Graphs with Reinforcement Learning—0
High Accurate and Explainable Multi-Pill Detection Framework with Graph Neural Network-Assisted Multimodal Data Fusion—0
Domain-Hierarchy Adaptation via Chain of Iterative Reasoning for Few-shot Hierarchical Text Classification—0
Heterogeneous Information Network-based Interest Composition with Graph Neural Network for Recommendation—0
Domain Generalization Deep Graph Transformation—0
Heterogeneous Graph Pre-training Based Model for Secure and Efficient Prediction of Default Risk Propagation among Bond Issuers—0
Domain-Adversarial Anatomical Graph Networks for Cross-User Human Activity Recognition—0
High-Order Pooling for Graph Neural Networks with Tensor Decomposition—0
Boosting Column Generation with Graph Neural Networks for Joint Rider Trip Planning and Crew Shift Scheduling—0
FIMP: Foundation Model-Informed Message Passing for Graph Neural Networks—0
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