Efficient Historical Butterfly Counting in Large Temporal Bipartite Networks via Graph Structure-aware Index
Summary: Proposes the first graph-structure-aware indexing for historical butterfly counting in temporal bipartite networks, combining two novel indices whose space scales with counts of butterflies and wedges. Adds index compression and unbiased approximation, proves asymptotic gains on power-law graphs, and achieves up to 10^5x query speedups with modest memory. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Qiuyang Mang
- 2. Jingbang Chen
- 3. Hangrui Zhou
- 4. Yu Gao
- 5. Yingli Zhou
- 6. Qingyu Shi
- 7. Richard Peng
- 8. Yixiang Fang
- 9. Chenhao Ma
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| Rank | Citing Paper | Year | Venue | Pagerank |
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| 10,300 | Scalable Approximate Biclique Counting over Large Bipartite Graphs | 2026 | VLDB | 4.1945683e-05 |
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