Papers › Efficient k-Clique Listing: An Edge-Oriented Branching Strategy
Efficient k-Clique Listing: An Edge-Oriented Branching Strategy
Kaixin Wang, Kaiqiang Yu, Cheng Long
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k-clique listing is a vital graph mining operator with diverse applications in various networks. The state-of-the-art algorithms all adopt a branch-and-bound (BB) framework with a vertex-oriented branching strategy (called VBBkC), which forms a sub-branch by expanding a partial k-clique with a vertex. These algorithms have the time complexity of O(k m (δ/2)ᵏ⁻²), where m is the number of edges in the graph and δ is the degeneracy of the graph. In this paper, we propose a BB framework with a new edge-oriented branching (called EBBkC), which forms a sub-branch by expanding a partial k-clique with two vertices that connect each other (which correspond to an edge). We explore various edge orderings for EBBkC such that it achieves a time complexity of O(δm + k m (τ/2)ᵏ⁻²), where τ is an integer related to the maximum truss number of the graph and we have τ< δ. The time complexity of EBBkC is better than that of VBBkC algorithms for k>3 since both O(δm) and O(k m (τ/2)ᵏ⁻²) are bounded by O(k m (δ/2)ᵏ⁻²). Furthermore, we develop specialized algorithms for sub-branches on dense graphs so that we can early-terminate them and apply the specialized algorithms. We conduct extensive experiments on 19 real graphs, and the results show that our newly developed EBBkC-based algorithms with the early termination technique consistently and largely outperform the state-of-the-art (VBBkC-based) algorithms.
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