Tree-based Network Embedding
Tree-Based Network Embedding is a network embedding framework that belongs to the class of graph representation learning methods, distinguished by its specific adaptation of hierarchical tree structures to preserve both global topology and local proximity in Fat-Tree network topologies.
11
Publications
449
Citations
30
Authors
17
Institutions
Publications per year
2017–2026
5
Parents
11
Network embedding: Taxonomies, frameworks and applications
Mingliang Hou, Jing Ren, Da Zhang et al. · Computer Science Review · 2020 · 63 citations
Graph Embedded One-Class Classifiers for media data classification
Vasileios Mygdalis, Alexandros Iosifidis, Anastasios Tefas et al. · Pattern Recognition · 2016 · 43 citations · Full text
Computing, Data Science, Data Mining +13
1–5 of 11
30
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1–5 of 30
17
Chinese University of Hong Kong
Hong Kong, Hong Kong
2 h-index
3 publications
42 citations
University of Miami
Coral Gables, United States
1 h-index
2 publications
126 citations
State University of New York
Albany, United States
1 h-index
1 publications
14 citations
Huawei Technologies (China)
Shenzhen, China
1 h-index
2 publications
28 citations
Louisiana State University
Baton Rouge, United States
1 h-index
1 publications
14 citations
Dalian University of Technology
Dalian, China
1 h-index
4 publications
252 citations

Shanghai Jiao Tong University
Shanghai, China
1 h-index
2 publications
26 citations

Federation University
Ballarat, Australia
1 h-index
1 publications
63 citations
1–8 of 17
3 publications · 199 citations
3
h-index
Repository · 1 publications · 14 citations
1
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1 publications · 43 citations
1
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1 publications · 50 citations
1
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TKDE · 1 publications · 13 citations
1
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1–5