Individual and Collective Graph Mining: Principles, Algorithms, and Applications-Reference-Cited by-同舟云学术

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Individual and Collective Graph Mining: Principles, Algorithms, and Applications

Published:2017-10-26 Issue:2 Volume:9 Page:1-206
ISSN:2151-0067
Container-title:Synthesis Lectures on Data Mining and Knowledge Discovery
language:en
Short-container-title:Synthesis Lectures on Data Mining and Knowledge Discovery

Author:

Koutra Danai¹,Faloutsos Christos²

Affiliation:

1. University of Michigan, Ann Arbor

2. Carnegie Mellon University

Publisher

Morgan & Claypool Publishers LLC

Reference230 articles.

1. Condensing Temporal Networks using Propagation

2. Evolutionary Network Analysis

3. Online Analysis of Community Evolution in Data Streams

4. OPAvion

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1. ELRUNA;ACM Journal of Experimental Algorithmics;2021-12-31

2. GANAN: GAN-based for Anomaly Detection on Attributed Networks;2021 3rd International Academic Exchange Conference on Science and Technology Innovation (IAECST);2021-12-10

3. Examining proximity exposure in a social network as a mechanism driving peer influence of adolescent smoking;Addictive Behaviors;2021-06

4. Generative Adversarial Attributed Network Anomaly Detection;Proceedings of the 29th ACM International Conference on Information & Knowledge Management;2020-10-19

5. Graph Summarization Methods and Applications;ACM Computing Surveys;2019-05-31

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