Mining Frequent Patterns in Evolving Graphs-Reference-Cited by-同舟云学术

Mining Frequent Patterns in Evolving Graphs

Published:2018-10-17 Issue: Volume: Page:
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Container-title:Proceedings of the 27th ACM International Conference on Information and Knowledge Management
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Author:

Aslay Cigdem¹,Nasir Muhammad Anis Uddin²,De Francisci Morales Gianmarco³,Gionis Aristides¹

Affiliation:

1. Aalto University, Espoo, Finland

2. King Digital Entertainment Ltd, Stockholm, Sweden

3. ISI Foundation, Turin, Italy

Funder

Academy of Finland

EC H2020 RIA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3269206.3271772

Reference40 articles.

1. Incremental Frequent Subgraph Mining on Large Evolving Graphs

2. Output space sampling for graph patterns

3. GUISE: Uniform Sampling of Graphlets for Large Graph Analysis

4. Mining frequent closed graphs on evolving data streams

5. Karsten M. Borgwardt Hans-Peter Kriegel and Peter Wackersreuther. 2006. Pattern mining in frequent dynamic subgraphs. In ICDM. 818--822. 10.1109/ICDM.2006.124 Karsten M. Borgwardt Hans-Peter Kriegel and Peter Wackersreuther. 2006. Pattern mining in frequent dynamic subgraphs. In ICDM. 818--822. 10.1109/ICDM.2006.124

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