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Efficient High-Quality Clustering for Large Bipartite Graphs

Summary: Efficient k-BGC on large bipartite graphs with HOPE/HOPE+, using HOP vectors and low-rank approximations for quality clustering. HOPE+ (FNEM/SNEM) achieves top accuracy with two-stage optimization, scaling to 1.1B edges in ~31 minutes. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6832
Venue
SIGMOD
Year
2024
Pagerank
4.1945683e-05
Overall Rank
10,945 | 23.86%
DOI
10.1145/3639278

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Rank Citing Paper Year Venue Pagerank
13,086 Effective Clustering for Large Multi-Relational Graphs 2026 SIGMOD -
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