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Graph Sampling

Training GNNs or generating graph embeddings requires graph samples.

Papers

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Showing 21–30 of 101 papers

TitleStatusHype
Rethinking Explaining Graph Neural Networks via Non-parametric Subgraph MatchingCode1
Scalable Graph Neural Networks via Bidirectional PropagationCode1
Accelerating Sampling and Aggregation Operations in GNN Frameworks with GPU Initiated Direct Storage AccessesCode1
GRAPES: Learning to Sample Graphs for Scalable Graph Neural NetworksCode1
Fine-tuning Partition-aware Item Similarities for Efficient and Scalable RecommendationCode0
Hierarchical graph sampling based minibatch learning with chain preservation and variance reductionCode0
A Topology-aware Analysis of Graph Collaborative FilteringCode0
AGS-GNN: Attribute-guided Sampling for Graph Neural NetworksCode0
Graph Sampling Based Deep Metric Learning for Generalizable Person Re-IdentificationCode0
A Sampling-based Framework for Hypothesis Testing on Large Attributed GraphsCode0
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