Efficient Bi-triangle Counting for Large Bipartite Networks
Summary: Efficient bi-triangle counting in large bipartite networks; a bi-triangle is a six-node cycle with three vertices from each part. From a baseline of joining three wedges, it uses two super-wedges with degree-based ranking, yielding up to five orders of magnitude speedups on graphs with >1e9 edges. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Yixing Yang
- 2. Yixiang Fang
- 3. Maria E. Orlowska
- 4. Wenjie Zhang
- 5. Xuemin Lin
Incoming Citations (Sorted by Pagerank)
Showing 12 of 12 citing papers.
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 10 of 10 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
Previous
Page 1 / 1
Next
Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 589 | Massive Graph Triangulation | 2013 | SIGMOD | 0.00019576567 |
| 392 | Counting Triangles in Data Streams | 2006 | PODS | 0.00024556183 |
| 6,183 | Efficient Core Maintenance in Large Bipartite Graphs | 2023 | SIGMOD | 5.1667703e-05 |
| 4,626 | Efficient Biclique Counting in Large Bipartite Graphs | 2023 | SIGMOD | 6.0399035e-05 |
| 3,492 | Efficient Maximal Biclique Enumeration for Large Sparse Bipartite Graphs | 2022 | VLDB | 7.044442e-05 |
| 10,871 | Efficient Computation of Hyper-triangles on Hypergraphs | 2025 | VLDB | 4.1945683e-05 |
| 1,484 | Vertex Priority Based Butterfly Counting for Large-scale Bipartite Networks | 2019 | VLDB | 0.00011714263 |
| 10,300 | Scalable Approximate Biclique Counting over Large Bipartite Graphs | 2026 | VLDB | 4.1945683e-05 |
| 9,228 | Efficiently Counting Triangles in Large Temporal Graphs | 2025 | SIGMOD | 4.3690661e-05 |
| 7,451 | Scalable Approximate Butterfly and Bi-triangle Counting for Large Bipartite Networks | 2023 | SIGMOD | 4.7263711e-05 |