Graph partitioning is a key problem to enable efficient solving of a wide range of computational tasks and querying over large-scale graph data, such as computing node centralities using iterative ...
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Ramanujan’s π equations are helping physicists decode nature
More than a century after Srinivasa Ramanujan scribbled his astonishing formulas for π in notebooks in India and England, ...
Abstract: EdgeAI represents a compelling approach for deploying DNN models at network edge through model partitioning. However, most existing partitioning strategies have primarily concentrated on ...
Julia Kagan is a financial/consumer journalist and former senior editor, personal finance, of Investopedia. Erika Rasure is globally-recognized as a leading consumer economics subject matter expert, ...
Steven Nickolas is a writer and has 10+ years of experience working as a consultant to retail and institutional investors. Thomas J. Brock is a CFA and CPA with more than 20 years of experience in ...
Abstract: As dynamic graph data have been actively used, incremental graph partition schemes have been studied to efficiently store and manage large graphs. In this paper, we propose a vertex-cut ...
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