Temporal Graph Features
Temporal Graph Features is a class of graph feature engineering methods that captures dynamic structural patterns by encoding time-evolving relationships and node interactions within a temporal graph.
63
Publications
3.1K
Citations
258
Authors
125
Institutions
Publications per year
2017–2026
47
Parents
63
AddGraph: Anomaly Detection in Dynamic Graph Using Attention-based Temporal GCN
Li Zheng, Zhenpeng Li, Jian Li et al. · 2019 · 239 citations · Full text
Structural Temporal Graph Neural Networks for Anomaly Detection in Dynamic Graphs
Lei Cai, Zhengzhang Chen, Chen Luo et al. · 2021 · 122 citations
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125
Tsinghua University
Beijing, China
5 h-index
13 publications
889 citations

Peking University
Beijing, China
4 h-index
7 publications
837 citations

City University of Hong Kong
Hong Kong, Hong Kong
2 h-index
2 publications
221 citations
China University of Mining and Technology
Xuzhou, China
2 h-index
9 publications
158 citations

Xuzhou University of Technology
Xuzhou, China
2 h-index
2 publications
36 citations

Zhejiang University of Technology
Hangzhou, China
2 h-index
12 publications
1.3K citations

South China University of Technology
Guangzhou, China
2 h-index
7 publications
501 citations

Pennsylvania State University
State College, United States
2 h-index
7 publications
398 citations
1–8 of 125
6 publications · 295 citations
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Repository · 3 publications · 48 citations
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2 publications · 95 citations
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2 publications · 110 citations
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1 publications · 76 citations
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