Active exploration for large graphs

    Data Mining and Knowledge Discovery, Volume 30, Issue 3, 2015.

    Cited by: 6|Bibtex|Views21|Links
    EI
    Keywords:
    Active explorationSupervised samplingRandom walksActive learningNetworked data

    Abstract:

    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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