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Showing 1 to 2 of 2 for “"Graph Data Mining"”.
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ScaleGPS: Scalable Graph Parallel Sampling via Data-centric Performance Engineering
Graph sampling extracts representative samples of a graph, so that approximate graph algorithms can be used in place of expensive, exact algorithms while still achieving highquality results. Thus, graph sampling plays an important role in many modern graph-based applications, such as graph machine …
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Empowering graph intelligence via natural and artificial dynamics
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-02-04 without embargo terms