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Scalable and Effective Bipartite Network Embedding

Summary: GEBE offers a generic BNE for bipartite graphs, preserving multi-hop proximity between U and V with two measures: Poisson/Geometric/Uniform. A unified objective with efficiency tricks enables scalable training; GEBEp (Poisson-based) delivers top-N and link-prediction gains with speedups. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6291
Venue
SIGMOD
Year
2022
Pagerank
5.3363253e-05
Overall Rank
5,766 | 59.89%
DOI
10.1145/3514221.3517838

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