Temporal Graph Mining is a subfield of graph mining that focuses on extracting patterns, structures, and dynamics from graphs whose topology and attributes evolve over time, distinguished by its integration of temporal information into the analysis of relational data.
60
Publications
2.6K
Citations
234
Authors
106
Institutions
Publications per year
2017–2026
33
Publications
60
Rishi Kapoor, George Porter, Malveeka Tewari et al. · 2012 · 188 citations
Paolo Boldi, Massimo Santini, Sebastiano Vigna · ACM SIGIR Forum · 2008 · 163 citations
Wentao Han, Youshan Miao, Kaiwei Li et al. · 2014 · 158 citations
Neil Shah, Danai Koutra, Tianmin Zou et al. · 2015 · 139 citations · Full text
1–5 of 60
Authors
234
- RL
7
h-index
- HQ
5
h-index
- YY
4
h-index
- GW
4
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- LQ
4
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1–5 of 234
Institutions
106
Beijing Institute of Technology
Beijing, China
7 h-index
18 publications
548 citations
University of Technology Sydney
Sydney, Australia
5 h-index
6 publications
274 citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
4 h-index
8 publications
545 citations
Google (United States)
Mountain View, United States
4 h-index
9 publications
450 citations
Centre National de la Recherche Scientifique
Paris, France
3 h-index
7 publications
146 citations
University of Ioannina
Ioannina, Greece
2 h-index
4 publications
166 citations
University of California, Santa Barbara
Santa Barbara, United States
2 h-index
6 publications
426 citations
Carnegie Mellon University
Pittsburgh, United States
2 h-index
7 publications
769 citations
1–8 of 106
Venues
- Proceedings of the VLDB Endowment
PVLDB · 5 publications · 128 citations
5
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- IEEE Transactions on Knowledge and Data Engineering
TKDE · 4 publications · 89 citations
4
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- IEEE Transactions on Neural Networks and Learning Systems
2 publications · 55 citations
2
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- arXiv (Cornell University)
Repository · 2 publications · 60 citations
2
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- IEEE Transactions on Big Data
2 publications · 35 citations
2
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1–5