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Graph Sampling

Training GNNs or generating graph embeddings requires graph samples.

Papers

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Showing 11–20 of 101 papers

TitleStatusHype
Towards joint graph learning and sampling set selection from data—0
Graph Sampling for Scalable and Expressive Graph Neural Networks on Homophilic Graphs—0
GCM-Net: Graph-enhanced Cross-Modal Infusion with a Metaheuristic-Driven Network for Video Sentiment and Emotion Analysis—0
Federated Graph Learning with Adaptive Importance-based Sampling—0
Retrofitting Temporal Graph Neural Networks with TransformerCode1
Bearing Fault Diagnosis using Graph Sampling and Aggregation Network—0
Unveiling Privacy Vulnerabilities: Investigating the Role of Structure in Graph Data—0
Edge Sampling of Graphs: Graph Signal Processing Approach With Edge Smoothness—0
Light-weight End-to-End Graph Interest Network for CTR Prediction in E-commerce Search—0
AGS-GNN: Attribute-guided Sampling for Graph Neural NetworksCode0
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