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Graph Sampling

Training GNNs or generating graph embeddings requires graph samples.

Papers

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Showing 91–100 of 101 papers

TitleStatusHype
Graph Neural Network for Stress Predictions in Stiffened Panels Under Uniform Loading—0
Graph Sampling Based Deep Metric Learning for Generalizable Person Re-Identification—0
Graph Sampling for Matrix Completion Using Recurrent Gershgorin Disc Shift—0
Graph sampling for node embedding—0
Graph Sampling for Scalable and Expressive Graph Neural Networks on Homophilic Graphs—0
Graph sampling with determinantal processes—0
Impression-Informed Multi-Behavior Recommender System: A Hierarchical Graph Attention Approach—0
Interpretable A-posteriori Error Indication for Graph Neural Network Surrogate Models—0
Keyed Chaotic Dynamics for Privacy-Preserving Neural Inference—0
Learning Large-scale Network Embedding from Representative Subgraph—0
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