Scalable Temporal Motif Densest Subnetwork Discovery

Author:

Sarpe Ilie1ORCID,Vandin Fabio2ORCID,Gionis Aristides1ORCID

Affiliation:

1. KTH Royal Institute of Technology, Stockholm, Sweden

2. University of Padova, Padova, Italy

Funder

Wallenberg AI, Autonomous Systems and Software Program (WASP) funded by the Knut and Alice Wallenberg Foundation

MUR (Ministry of University and Research) of Italy

EC H2020 RIA project SoBigData++

ERC Advanced Grant REBOUND

Publisher

ACM

Reference75 articles.

1. Walid Ahmad Mason A. Porter and Mariano Beguerisse-Diaz. 2021. Tie-Decay Networks in Continuous Time and Eigenvector-Based Centralities. TNSE.

2. Nesreen K. Ahmed, Nick Duffield, and Ryan A. Rossi. 2021. Online Sampling of Temporal Networks. TKDD.

3. Naomi A. Arnold, Peijie Zhong, Cheick Tidiane Ba, Ben Steer, Raul Mondragon, Felix Cuadrado, Renaud Lambiotte, and Richard G. Clegg. 2024. Insights and caveats from mining local and global temporal motifs in cryptocurrency transaction networks. arXiv.

4. Bahman Bahmani Ravi Kumar and Sergei Vassilvitskii. 2012. Densest Subgraph in Streaming and MapReduce. PVLDB.

5. Caleb Belth Xinyi Zheng and Danai Koutra. 2020. Mining Persistent Activity in Continually Evolving Networks. KDD.

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Scalable Temporal Motif Densest Subnetwork Discovery;Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2024-08-24

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