Efficient Load-Balanced Butterfly Counting on GPU
Summary: G-BFC, a GPU-based butterfly counting approach for large bipartite graphs, unlocks the serial region with shared memory. Adaptive load balancing and wedge-reduction preprocessing tackle workload imbalance and wedge traversal, delivering up to 19.8x speedup across eleven real datasets. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Qingyu Xu
- 2. Feng Zhang
- 3. Zhiming Yao
- 4. Lv Lu
- 5. Xiaoyong Du
- 6. Dong Deng
- 7. Bingsheng He
Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,484 | Efficient Temporal Butterfly Counting and Enumeration on Temporal Bipartite Graphs | 2024 | VLDB | 6.1426351e-05 |
| 7,450 | Scalable Approximate Butterfly and Bi-triangle Counting for Large Bipartite Networks | 2023 | SIGMOD | 4.7218383e-05 |
| 9,411 | Common Neighborhood Estimation over Bipartite Graphs under Local Differential Privacy | 2024 | SIGMOD | 4.3399748e-05 |
| 10,079 | Fast Optimal Group Steiner Tree Search using GPUs | 2026 | SIGMOD | 4.1905499e-05 |
| 10,157 | Efficient and Effective Biclique Counting with Local Differential Privacy | 2026 | SIGMOD | 4.1905499e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 7 of 7 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 57 | Discovering Large Dense Subgraphs in Massive Graphs | 2005 | VLDB | 0.00065421423 |
| 888 | Maximum Biclique Search at Billion Scale | 2020 | VLDB | 0.00015549756 |
| 1,150 | K-Core Decomposition of Large Networks on a Single PC | 2016 | VLDB | 0.00013647447 |
| 1,484 | Vertex Priority Based Butterfly Counting for Large-scale Bipartite Networks | 2019 | VLDB | 0.00011705344 |
| 2,933 | Pangolin: An Efficient and Flexible Graph Mining System on CPU and GPU | 2020 | VLDB | 7.8633648e-05 |
| 4,146 | Accelerating Triangle Counting on GPU | 2021 | SIGMOD | 6.4065776e-05 |
| 4,533 | Efficient Document Analytics on Compressed Data: Method, Challenges, Algorithms, Insights | 2018 | VLDB | 6.1015426e-05 |
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