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Efficient Cohesive Subgraphs Detection in Parallel

Summary: PETA is a parallel, efficient k-truss detector that builds TC-subgraphs per node for fast local k-truss discovery. It bounds communication to 3× triangles, preserves serial-like compute, and uses a subgraph-oriented parallel model; experiments show 2–19× less communication, 80–95% fewer iterations, and ~80% speedups. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4795
Venue
SIGMOD
Year
2014
Pagerank
5.8237536e-05
Overall Rank
4,921 | 65.77%
DOI
10.1145/2588555.2593665

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