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Showing 1 to 3 of 3 for “"Graph Pattern Mining"”.

  1. Designing a Domain-Specific Accelerator for Graph Pattern Mining

    Graph pattern mining (GPM) is used in a variety of domains such as bioinformatics, e-commerce and social sciences. GPM is a computationally intensive problem with an enormous amount of coarse-grain parallelism and therefore, attractive for hardware acceleration. Unfortunately, existing GPM …

    mit Repository record for Designing a Domain-Specific Accelerator for Graph Pattern Mining (opens in a new tab)

  2. Accelerating graph pattern mining algorithms on modern graphics processing units

    Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2022-11-11 without embargo terms

    uiuc Repository record for Accelerating graph pattern mining algorithms on modern graphics processing units (opens in a new tab)

  3. Accurate and Fast Approximate Graph Mining at Scale

    Approximate graph pattern mining (A-GPM) is an important data analysis tool for numerous graph-based applications. There exist sampling-based A-GPM systems to provide automation and generalization over a wide variety of use cases. Despite improved usability, there are two major obstacles that …

    mit Repository record for Accurate and Fast Approximate Graph Mining at Scale (opens in a new tab)