Better Algorithms for Counting Triangles in Data Streams
Summary: Tightens space for 1+ε triangle-count approximation in streams: adjacency-list model achieves O~(ε^{-2} m / sqrt(T)) in one pass and O~(ε^{-2} m^{3/2} / T) in two passes; arbitrary-order achieves O~(ε^{-2} m / T) in two passes and O~(ε^{-2} m^{3/2} / T) in three passes (with degree oracle). Introduces an efficient wedge-sampling implementation via the first multi-sample l_p sampling algorithm with O(polylog n) update time, a broadly applicable primitive. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Andrew McGregor (University of Massachusetts Amherst)
- 2. Sofya Vorotnikova (University of Massachusetts Amherst)
- 3. Hoa T. Vu (University of Massachusetts Amherst)
BibTeX Citation
@inproceedings{mcgregor_pods16,
address = {New York, NY, USA},
series = {{PODS} '16},
title = {{Better Algorithms for Counting Triangles in Data Streams}},
url = {https://dl.acm.org/doi/10.1145/2902251.2902283},
doi = {10.1145/2902251.2902283},
booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
publisher = {Association for Computing Machinery},
author = {McGregor, Andrew and Vorotnikova, Sofya and Vu, Hoa T.},
year = {2016}
}
Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,363 | The Complexity of Counting Cycles in the Adjacency List Streaming Model | 2019 | PODS | 5.9000002e-05 |
| 6,873 | Triangle and Four Cycle Counting in the Data Stream Model | 2020 | PODS | 5.7495468e-05 |
| 8,928 | How the Degeneracy Helps for Triangle Counting in Graph Streams | 2020 | PODS | 5.3483178e-05 |
| 9,048 | An Improved Fully Dynamic Algorithm for Counting 4-Cycles in General Graphs Using Fast Matrix Multiplication | 2025 | PODS | 5.3251649e-05 |
| 9,967 | Automating Incremental Graph Processing with Flexible Memoization | 2021 | VLDB | 5.1869874e-05 |
| 11,520 | Approximately Counting Subgraphs in Data Streams | 2022 | PODS | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 458 | Counting Triangles in Data Streams | 2006 | PODS | 0.0001810876 |
| 777 | Tight Bounds for Lp Samplers, Finding Duplicates in Streams, and Related Problems | 2011 | PODS | 0.0001410593 |
| 1,103 | Counting and Sampling Triangles from a Graph Stream | 2013 | VLDB | 0.000121583 |
| 1,146 | Graph Sketches: Sparsification, Spanners, and Subgraphs | 2012 | PODS | 0.00011984702 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 10,411 | Triangle Counting in Hypergraph Streams: A Complete and Practical Approach | 2026 | SIGMOD |
| 2 | 4,613 | On Sampling from Massive Graph Streams | 2017 | VLDB |
| 3 | 11,520 | Approximately Counting Subgraphs in Data Streams | 2022 | PODS |
| 4 | 2,635 | Sliding Window-based Approximate Triangle Counting over Streaming Graphs with Duplicate Edges | 2021 | SIGMOD |
| 5 | 6,363 | The Complexity of Counting Cycles in the Adjacency List Streaming Model | 2019 | PODS |
| 6 | 8,928 | How the Degeneracy Helps for Triangle Counting in Graph Streams | 2020 | PODS |
| 7 | 4,500 | Approximately Counting Triangles in Large Graph Streams Including Edge Duplicates with a Fixed Memory Usage | 2018 | VLDB |
| 8 | 6,873 | Triangle and Four Cycle Counting in the Data Stream Model | 2020 | PODS |
| 9 | 1,103 | Counting and Sampling Triangles from a Graph Stream | 2013 | VLDB |
| 10 | 458 | Counting Triangles in Data Streams | 2006 | PODS |