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ABC: Attributed Bipartite Co-clustering

Summary: ABC unifies bipartite modularity optimization with attribute cohesiveness for co-clustering in attributed bipartite networks. NP-hard and not APX (unless P=NP); top-down, bottom-up, and group-matching algorithms deliver practical efficiency on real data. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12710
Venue
VLDB
Year
2022
Pagerank
4.6601824e-05
Overall Rank
7,752 | 46.08%
DOI
10.14778/3547305.3547318

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Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
6,259 Neural Attributed Community Search at Billion Scale 2023 SIGMOD 5.1355079e-05
10,057 Budgeted Strong Community Search in Heterogeneous Graphs 2026 SIGMOD 4.1945683e-05
11,060 Efficient Maximal Frequent Group Enumeration in Temporal Bipartite Graphs 2024 VLDB 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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