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title

Learning From Networks

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Algorithms, Theory, & Applications

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Learning From Networks

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2026-02-21 13:10:44

raw text

Learning From Networks | Algorithms, Theory, & Applications Learning From Networks Algorithms, Theory, & Applications 2019 SIGKDD - Tutorial, Aug 4, 2019, Anchorage Description : Arguably, every entity in this universe is networked in one way or another. With the prevalence of network data collected, such as social media and biological networks, learning from networks has become an essential task in many applications. It is well recognized that network data is intricate and large-scale, and analytic tasks on network data become more and more sophisticated. In this tutorial, we systematically review the area of learning from networks, including algorithms, theoretical analysis, and illustrative applications. Starting with a quick recollection of the exciting history of the area, we formulate the core technical problems. Then, we introduce the fundamental approaches, that is, the feature selection based approaches and the network embedding based approaches. Next, we extend our...

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