Abstract
Graphs are very powerful representations of data and the relations among them. The Web, friendships and communications, collaborations and phone calls, traffic flow, or brain functions are only few examples of the processes that are naturally captured by graphs, which often span hundreds of millions or billions of nodes and edges. Within this abundance of interconnected data, a key challenge is the extraction of useful knowledge in a scalable way.
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Koutra, D., Faloutsos, C. (2018). Conclusions and Further Research Problems. In: Individual and Collective Graph Mining. Synthesis Lectures on Data Mining and Knowledge Discovery. Springer, Cham. https://doi.org/10.1007/978-3-031-01911-1_7
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DOI: https://doi.org/10.1007/978-3-031-01911-1_7
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-00783-5
Online ISBN: 978-3-031-01911-1
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