Towards efficient motif-based graph partitioning: An adaptive sampling approach

In this paper, we study the problem of efficient motif-based graph partitioning (MGP). We observe that existing methods require to enumerate all motif instances to compute the exact edge weights for partitioning. However, the enumeration is prohibitively expensive against large graphs. We thus propo...

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Bibliographic Details
Main Authors: HUANG, Shixun, LI, Yuchen, BAO, Zhifeng, LI, Zhao
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2021
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Online Access:https://ink.library.smu.edu.sg/sis_research/6205
https://ink.library.smu.edu.sg/context/sis_research/article/7208/viewcontent/TR.pdf
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Institution: Singapore Management University
Language: English
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