Massive Graph Triangulation
Summary: Massive Graph Triangulation: I/O-efficient triangle listing for graphs that don't fit memory; finds all 3-vertex cliques. New algorithm provably I/O- and CPU-efficient, input-assumption-free, with a radically different approach, achieving ~10x speedups over prior work. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Xiaocheng Hu
- 2. Yufei Tao
- 3. Chin-Wan Chung
Incoming Citations (Sorted by Pagerank)
Showing 21 of 21 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 5 of 5 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 108 | Truss Decomposition in Massive Networks | 2012 | VLDB | 0.00048300163 |
| 110 | On Triangulation-based Dense Neighborhood Graph Discovery | 2011 | VLDB | 0.00047892924 |
| 686 | Finding Maximal Cliques in Massive Networks by H*-graph | 2010 | SIGMOD | 0.00018178029 |
| 2,437 | gSketch: On Query Estimation in Graph Streams | 2012 | VLDB | 8.8231651e-05 |
| 3,677 | Efficient External-Memory Bisimulation on DAGs | 2012 | SIGMOD | 6.8533416e-05 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,492 | Efficient Maximal Biclique Enumeration for Large Sparse Bipartite Graphs | 2022 | VLDB | 7.044442e-05 |
| 392 | Counting Triangles in Data Streams | 2006 | PODS | 0.00024556183 |
| 8,540 | On Asymptotic Cost of Triangle Listing in Random Graphs | 2017 | PODS | 4.4937074e-05 |
| 12,041 | I/O Efficient: Computing SCCs in Massive Graphs | 2013 | SIGMOD | 4.1945683e-05 |
| 5,046 | Better Algorithms for Counting Triangles in Data Streams | 2016 | PODS | 5.7405307e-05 |
| 3,534 | OPT: A New Framework for Overlapped and Parallel Triangulation in Large-scale Graphs | 2014 | SIGMOD | 6.9997025e-05 |
| 2,215 | The Input/Output Complexity of Triangle Enumeration | 2014 | PODS | 9.2717602e-05 |
| 4,459 | Efficient Bi-triangle Counting for Large Bipartite Networks | 2021 | VLDB | 6.1651553e-05 |
| 9,091 | Efficiently Enumerating Minimal Triangulations | 2017 | PODS | 4.39823e-05 |
| 1,344 | Counting and Sampling Triangles from a Graph Stream | 2013 | VLDB | 0.00012473724 |