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Graph Sampling

Training GNNs or generating graph embeddings requires graph samples.

Papers

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Showing 31–40 of 101 papers

TitleStatusHype
GraphSOS: Graph Sampling and Order Selection to Help LLMs Understand Graphs Better—0
BMG-Q: Localized Bipartite Match Graph Attention Q-Learning for Ride-Pooling Order Dispatch—0
Physics-Guided Fair Graph Sampling for Water Temperature Prediction in River Networks—0
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
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
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