Sliding Window-based Approximate Triangle Counting over Streaming Graphs with Duplicate Edges
Summary: SWTC introduces a sliding-window approach for approximate triangle counting in streaming graphs with duplicate edges. Fixed-length slicing delivers unbiased sampling and memory-bounded cardinality estimation, with theoretical guarantees and improved accuracy versus baselines under the same memory. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Xiangyang Gou
- 2. Lei Zou
Incoming Citations (Sorted by Pagerank)
Showing 12 of 12 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 9 of 9 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 389 | Counting Triangles in Data Streams | 2006 | PODS | 0.00024649634 |
| 588 | Massive Graph Triangulation | 2013 | SIGMOD | 0.00019588834 |
| 1,348 | Counting and Sampling Triangles from a Graph Stream | 2013 | VLDB | 0.00012461666 |
| 1,392 | Real-time Constrained Cycle Detection in Large Dynamic Graphs | 2018 | VLDB | 0.00012224015 |
| 2,068 | Optimal Sampling From Distributed Streams | 2010 | PODS | 9.638573e-05 |
| 2,807 | Optimal Sampling from Sliding Windows | 2009 | PODS | 8.096649e-05 |
| 2,881 | Sampling Time-Based Sliding Windows in Bounded Space | 2008 | SIGMOD | 7.9671512e-05 |
| 3,537 | OPT: A New Framework for Overlapped and Parallel Triangulation in Large-scale Graphs | 2014 | SIGMOD | 6.9929946e-05 |
| 4,883 | Approximately Counting Triangles in Large Graph Streams Including Edge Duplicates with a Fixed Memory Usage | 2018 | VLDB | 5.8519327e-05 |
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