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Streaming graph has been broadly employed across various application domains. It involves updating edges to the graph and then performing analytics on the updated graph. However, existing solutions either suffer from poor data locality and high computation complexity for streaming graph analytics, or need high overhead to search and move graph data to ensure ordered neighbors during streaming graph update.
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Hao Qi
Anhui Medical University
Y. Wu
Heidelberg University
Ligang He
North University of China
University of Warwick
Huazhong University of Science and Technology
Zhejiang Lab
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Analyzing shared references across papers
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Qi et al. (Thu,) studied this question.
synapsesocial.com/papers/68e6e8b6b6db643587663d62 — DOI: https://doi.org/10.1145/3627703.3650076