Graph Data Modeling
Graph Data Modeling is a method in information modeling that represents data entities and their relationships as nodes and edges within a graph structure, emphasizing connectivity and relational patterns over hierarchical or tabular organization.
254
Publications
21.2K
Citations
820
Authors
341
Institutions
Publications per year
2017–2026
130
Parents
254
David I Shuman, Sunil K. Narang, Pascal Frossard et al. · IEEE Signal Processing Magazine · 2013 · 4.4K citations · Full text
Graph Neural Networks for Social Recommendation
Wenqi Fan, Yao Ma, Qing Li et al. · 2019 · 1.9K citations · Full text
Edward Choi, Mohammad Taha Bahadori, Le Song et al. · 2017 · 653 citations · Full text
Nadime Francis, Alastair Green, Paolo Guagliardo et al. · 2018 · 520 citations · Full text
The design and construction of reference pangenome graphs with minigraph
Heng Li, Xiaowen Feng, Chong Chu · Genome biology · 2020 · 500 citations · Full text
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341
Chinese University of Hong Kong
Hong Kong, Hong Kong
8 h-index
21 publications
1.9K citations

Peking University
Beijing, China
7 h-index
24 publications
2.3K citations

Centre National de la Recherche Scientifique
Paris, France
7 h-index
12 publications
400 citations
Georgia Institute of Technology
Atlanta, United States
6 h-index
16 publications
3.4K citations
IBM (United States)
Armonk, United States
5 h-index
10 publications
971 citations

City University of Hong Kong
Hong Kong, Hong Kong
5 h-index
7 publications
4.4K citations

University of Edinburgh
Edinburgh, United Kingdom
5 h-index
12 publications
2.1K citations
Tsinghua University
Beijing, China
5 h-index
19 publications
1.4K citations
1–8 of 341
Repository · 22 publications · 585 citations
15
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TKDE · 9 publications · 1.1K citations
9
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PVLDB · 4 publications · 211 citations
4
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4 publications · 192 citations
4
h-index
3 publications · 125 citations
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1–5