TATKC: A Temporal Graph Neural Network for Fast Approximate Temporal Katz Centrality Ranking

Author:

Zhang Tianming1ORCID,Fang Junkai1ORCID,Yang Zhengyi2ORCID,Cao Bin1ORCID,Fan Jing1ORCID

Affiliation:

1. Zhejiang University of Technology, Hangzhou, China

2. University of New South Wales, Sydney, Australia

Funder

Key Research Project of Zhejiang Province

Natural Science Foundation of Zhejiang Province

National Natural Science Foundation of China

Publisher

ACM

Reference49 articles.

1. Fast Exact Computation of betweenness Centrality in Social Networks

2. Alex Bavelas. 1948. A mathematical model for group structures. Human organization, Vol. 7, 3 (1948), 16--30.

3. Ferenc Béres, Róbert Pálovics, Anna Oláh, and András A Benczúr. 2018. Temporal walk based centrality metric for graph streams. Applied network science, Vol. 3, 1 (2018), 1--26.

4. Elisabetta Bergamini, Henning Meyerhenke, and Christian L Staudt. 2014. Approximating betweenness centrality in large evolving networks. In 2015 Proceedings of the Seventeenth Workshop on Algorithm Engineering and Experiments (ALENEX). SIAM, 133--146.

5. KADABRA is an ADaptive Algorithm for Betweenness via Random Approximation

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