Counting k-cliques is typically done by traversing search trees starting at each vertex in the graph. Parallelizing k-clique counting has been well-studied on CPUs and many solutions exist. However, there are no performant solutions for k-clique counting on GPUs.
Apr 27, 2021
Jun 28, 2022 · Counting k-cliques is typically done by traversing search trees starting at each vertex in the graph. Parallelizing k-clique counting has been ...
Sep 6, 2024 · Counting k-cliques is typically done by traversing search trees starting at each vertex in the graph. An important optimization is to eliminate ...
In this paper we develop simple and fast multicore parallel algorithms for counting the number of k-cliques in large undirected graphs, for any small constant k ...
The evaluation shows that the best GPU implementation of k -clique counting for both the graph orientation and pivoting approaches out-performs the best ...
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k-Clique Listing. Application Description. This benchmark finds k-cliques in an undirected graph. A k-clique is a complete subgraph with k vertices.
All these exact k-clique counting algorithms are based on k-clique enumeration, which are typically intractable on large graphs for a large k (e.g., k ≥ 8) due ...
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Nov 18, 2024 · Clique counting is a crucial task in graph mining, as the count of cliques provides different insights across various domains, ...
Apr 27, 2021 · Counting k-cliques is typically done by traversing search trees starting at each vertex in the graph. An important optimization is to eliminate ...