Active exploration for large graphs
Data Mining and Knowledge Discovery, Volume 30, Issue 3, 2015.
Active explorationSupervised samplingRandom walksActive learningNetworked data
Modern information networks, such as social networks, communication networks, and citation networks, are often characterized by very large sizes and dynamically changing structures. Common solutions to graph mining tasks (e.g., node classification) usually employ an unrestricted sampling-then-mining paradigm to reduce a large network to a...More
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