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Date: 2006-04-25 22:28:00 Graph Adjacency matrix Dense graph Random graph Line graph Path decomposition Graph theory Mathematics Minor		Add to Reading List Source URL: www.cs.elte.hu Download Document from Source Website File Size: 304,95 KB Share Document on Facebook

	Graph Algorithms Representations of graph G with vertices V and edges E ● V x V adjacency-matrix A: Au, v = 1  (u, v) ∈ E Size: \|V\|2 Better for dense graphs, i.e., \|E\| = Ω(\|V\|2) DocID: 1v2B4 - View Document
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	Discovering dense subgraphs and understanding their relations is important. Peeling algorithms (k-core, k-truss, and nucleus decomposition) have been shown to be effective to locate many dense subgraphs. However, constru DocID: 1qgdC - View Document
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	JMLR: Workshop and Conference Proceedings vol 40:1–30, 2015 Computational Lower Bounds for Community Detection on Random Graphs Bruce Hajek DocID: 1o6Ma - View Document