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Graph Neural Network

Papers

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Showing 1626–1650 of 3598 papers

TitleStatusHype
An Enhanced Graph Representation for Machine Learning Based Automatic Intersection Management—0
Advancing Federated Learning in 6G: A Trusted Architecture with Graph-based Analysis—0
Edge Ranking of Graphs in Transportation Networks using a Graph Neural Network (GNN)—0
Edge Graph Neural Networks for Massive MIMO Detection—0
Edge-Enhanced Global Disentangled Graph Neural Network for Sequential Recommendation—0
Can we Soft Prompt LLMs for Graph Learning Tasks?—0
Edge Direction-invariant Graph Neural Networks for Molecular Dipole Moments Prediction—0
CANOS: A Fast and Scalable Neural AC-OPF Solver Robust To N-1 Perturbations—0
An End-to-End OCR Text Re-organization Sequence Learning for Rich-text Detail Image Comprehension—0
Advancing Cyber-Attack Detection in Power Systems: A Comparative Study of Machine Learning and Graph Neural Network Approaches—0
Accounting for Work Zone Disruptions in Traffic Flow Forecasting—0
Edge Contraction Pooling for Graph Neural Networks—0
Edge Conditional Node Update Graph Neural Network for Multi-variate Time Series Anomaly Detection—0
Edge-based Tensor prediction via graph neural networks—0
Edge2Node: Reducing Edge Prediction to Node Classification—0
Canonicalizing Open Knowledge Bases with Multi-Layered Meta-Graph Neural Network—0
ECRC: Emotion-Causality Recognition in Korean Conversation for GCN—0
Medical Knowledge Graph QA for Drug-Drug Interaction Prediction based on Multi-hop Machine Reading Comprehension—0
Dynamic Virtual Network Embedding Algorithm based on Graph Convolution Neural Network and Reinforcement Learning—0
Dynamic Spatiotemporal Graph Neural Network with Tensor Network—0
Can graph neural network-based detection mitigate the impact of hardware imperfections?—0
Dynamic Relevance Graph Network for Knowledge-Aware Question Answering—0
Dynamic Relation Discovery and Utilization in Multi-Entity Time Series Forecasting—0
Dynamic Planning of Bicycle Stations in Dockless Public Bicycle-sharing System Using Gated Graph Neural Network—0
CAGNN: Cluster-Aware Graph Neural Networks for Unsupervised Graph Representation Learning—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1air0S1—Unverified