Node-attribute Encoding
Node-Attribute Encoding is a hybrid network representation technique that integrates nodal attribute information into the graph structure by transforming node features into encoded representations that preserve both topological and attribute-level semantics within a unified embedding space.
28
Publications
1.6K
Citations
115
Authors
51
Institutions
Publications per year
2017–2026
23
28
Deep Attributed Network Embedding
Hongchang Gao, Heng Huang · 2018 · 266 citations · Full text
ANRL: Attributed Network Representation Learning via Deep Neural Networks
Zhen Zhang, Hongxia Yang, Jiajun Bu et al. · 2018 · 235 citations · Full text
Co-Embedding Attributed Networks
Zaiqiao Meng, Shangsong Liang, Hongyan Bao et al. · 2019 · 170 citations
Multi-Scale attributed node embedding
Benedek Rózemberczki, Carl Allen, Rik Sarkar · Journal of Complex Networks · 2021 · 92 citations · Full text
1–5 of 28
115
2
h-index
2
h-index
2
h-index
2
h-index
2
h-index
1–5 of 115
51
Indo-American Center
Chicago, United States
2 h-index
2 publications
113 citations
University of Technology Sydney
Sydney, Australia
2 h-index
6 publications
222 citations

King Abdullah University of Science and Technology
Jeddah, Saudi Arabia
2 h-index
5 publications
712 citations

Yanshan University
Qinhuangdao, China
2 h-index
2 publications
113 citations

Beihang University
Beijing, China
2 h-index
4 publications
226 citations
University of Illinois Urbana-Champaign
Urbana, United States
2 h-index
3 publications
79 citations
University of Illinois Chicago
Chicago, United States
2 h-index
6 publications
339 citations

Zhejiang University
Hangzhou, China
2 h-index
10 publications
1.4K citations
1–8 of 51
2 publications · 42 citations
2
h-index
2 publications · 52 citations
2
h-index
1 publications · 88 citations
1
h-index
1 publications · 92 citations
1
h-index
TKDE · 1 publications · 97 citations
1
h-index
1–5