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Graph Sampling

Training GNNs or generating graph embeddings requires graph samples.

Papers

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Showing 1–10 of 101 papers

TitleStatusHype
Accelerating Scientific Discovery with Generative Knowledge Extraction, Graph-Based Representation, and Multimodal Intelligent Graph ReasoningCode3
TF-GNN: Graph Neural Networks in TensorFlowCode3
Causal structure learning with momentum: Sampling distributions over Markov Equivalence Classes of DAGsCode2
Quiver: Supporting GPUs for Low-Latency, High-Throughput GNN Serving with Workload AwarenessCode2
Training Graph Neural Networks with 1000 LayersCode2
Graph Learning at Scale: Characterizing and Optimizing Pre-Propagation GNNsCode1
Retrofitting Temporal Graph Neural Networks with TransformerCode1
GRAPES: Learning to Sample Graphs for Scalable Graph Neural NetworksCode1
Graph Sampling-based Meta-Learning for Molecular Property PredictionCode1
Accelerating Sampling and Aggregation Operations in GNN Frameworks with GPU Initiated Direct Storage AccessesCode1
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