Triangle Counting in Hypergraph Streams: A Complete and Practical Approach
Summary: Complete taxonomy of hyper-vertex triangles (inner, hybrid, outer) enabling unified hypergraph triangle counting in streams. HTCount (memory-adaptive reservoir sampling) and HTCount-P (partitioned reservoirs) provide unbiased estimators with variance bounds and 10–100× lower error under tight memory. (summarized by gpt-5-mini on Feb 11 2026)
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Authors
- 1. Lingkai Meng
- 2. Long Yuan
- 3. Xuemin Lin
- 4. Wenjie Zhang
- 5. Ying Zhang
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| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,641 | Truss-based Community Search over Large Directed Graphs | 2020 | SIGMOD | 0.00011044805 |
| 3,067 | Sliding Window-based Approximate Triangle Counting over Streaming Graphs with Duplicate Edges | 2021 | SIGMOD | 7.6247945e-05 |
| 5,529 | Hypergraph Motifs: Concepts, Algorithms, and Discoveries | 2020 | VLDB | 5.4569473e-05 |
| 9,479 | Revisiting Graph Analytics Benchmark | 2025 | SIGMOD | 4.3300131e-05 |
| 10,875 | Efficient Computation of Hyper-triangles on Hypergraphs | 2025 | VLDB | 4.1905499e-05 |
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