RECEIPT: REfine CoarsE-grained IndePendent Tasks for Parallel Tip decomposition of Bipartite Graphs
Summary: RECEIPT: parallel tip-decomposition for bipartite graphs via independent-task partitioning to peel vertex subsets concurrently. Hybrid peeling yields large speedups: up to 1100x fewer synchronizations, 64x fewer wedges; 17.1x speedup on 36 threads. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
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Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,882 | Theoretically and Practically Efficient Parallel Nucleus Decomposition | 2022 | VLDB | 4.8923998e-05 |
| 10,702 | Effective and Efficient Community Search for Complex Network Semantics Capture: From Coarse-Grain to Fine-Grain | 2025 | VLDB | 4.1905499e-05 |
| 10,950 | Parallel Algorithms for Hierarchical Nucleus Decomposition | 2024 | SIGMOD | 4.1905499e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 18 of 18 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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