ABSTRACT. Graph clustering is a fundamental data mining task that clusters vertices into different groups. The structural graph clustering al-.
In this paper, we consider structural graph clustering on dynamic graphs under Jaccard similarity. The state-of-the-art index-based solution focuses on static�...
ABSTRACT. Graph clustering is a fundamental data mining task that clusters vertices into different groups. The structural graph clustering al-.
We propose an effective and flexible index structure, named GS∗-Index, for structural graph clustering. To the best of our knowledge, this is the first index-�...
In this paper we propose an index-based method for SCAN. Based on our index, we cluster the graph for any ϵ and μ in O(Σcϵℂ |EC|) time, where ℂ is the result�...
Missing: Effective | Show results with:Effective
Effective Indexing for Dynamic Structural Graph Clustering � Fangyuan Zhang ... This paper considers structural graph clustering on dynamic graphs under�...
Following the new model, we propose an index-based approach to support the efficient clustering of a given graph. Moreover, we also devise efficient index�...
Aug 20, 2024 � Graph index as an effective data structure is widely applied in subgraph retrieval and matching. It records and compares the frequencies of a�...
... Motivated by limitations of existing solutions, we present an effective indexing scheme BOTBIN (Bottom-and bucket indexing) for the SCAN algorithm on�...
Our parallel index query implementation achieves 5–32� speedup over. GS*-Index queries across a range of SCAN parameter values, and our implementation is always�...