Time-aware Graph Embedding
Time-Aware Graph Embedding is a dynamic network analysis method that captures the evolving structure of temporal graphs by mapping nodes into time-parameterized low-dimensional vector spaces, preserving both topological relationships and temporal dynamics across discrete or continuous time stamps.
9
Publications
786
Citations
37
Authors
20
Institutions
Publications per year
2017–2026
9
Parents
9
Dynamic Network Embeddings: From Random Walks to Temporal Random Walks
Giang Nguyen, John Boaz Lee, Ryan A. Rossi et al. · 2018 · 63 citations
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State Grid Corporation of China (China)
Beijing, China
2 h-index
2 publications
107 citations

Peking University
Beijing, China
2 h-index
4 publications
133 citations

Zhejiang University
Hangzhou, China
2 h-index
5 publications
326 citations

Worcester Polytechnic Institute
Worcester, United States
1 h-index
2 publications
126 citations
Adobe Systems (United States)
San Jose, United States
1 h-index
2 publications
126 citations
Toronto Metropolitan University
Toronto, Canada
1 h-index
3 publications
180 citations
Power Grid Corporation (India)
Gurgaon, India
1 h-index
1 publications
73 citations
Zayed University
Abu Dhabi, United Arab Emirates
1 h-index
1 publications
60 citations
1–8 of 20
TKDE · 1 publications · 34 citations
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TASLP · 1 publications · 27 citations
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1 publications · 60 citations
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Conference · 1 publications · 73 citations
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1 publications · 27 citations
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1–5