Graph Data Structures
Graph Data Structures is a data organization paradigm that formally represents entities as vertices and relationships between entities as edges, distinguished from other data structures by its explicit modeling of pairwise connections within a networked topology.
832
Publications
60K
Citations
2.4K
Authors
820
Institutions
Publications per year
2017–2026
368
Parents
832
Andrei Broder, Ravi Kumar, Farzin Maghoul et al. · Computer Networks · 2000 · 2.8K citations
{SNAP Datasets}: {Stanford} Large Network Dataset Collection
Jure Leskovec, Andrej Krevl · 2014 · 2.8K citations
Graph Neural Networks for Social Recommendation
Wenqi Fan, Yao Ma, Qing Li et al. · 2019 · 1.9K citations · Full text
Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks
Zonghan Wu, Shirui Pan, Guodong Long et al. · 2020 · 1.8K citations · Full text
Computing, Data Science, Forecasting +16
1–5 of 832
2.4K
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1–5 of 2.4K
820
IBM (United States)
Armonk, United States
12 h-index
21 publications
2.1K citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
12 h-index
26 publications
2.1K citations
University of Illinois Urbana-Champaign
Urbana, United States
12 h-index
38 publications
1.9K citations
Carnegie Mellon University
Pittsburgh, United States
11 h-index
20 publications
895 citations
Georgia Institute of Technology
Atlanta, United States
11 h-index
30 publications
4.6K citations

Centre National de la Recherche Scientifique
Paris, France
11 h-index
31 publications
991 citations
Tsinghua University
Beijing, China
11 h-index
28 publications
1.5K citations

Peking University
Beijing, China
10 h-index
29 publications
2K citations
1–8 of 820
Repository · 43 publications · 8.2K citations
22
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TKDE · 20 publications · 1.5K citations
18
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PVLDB · 17 publications · 1.2K citations
15
h-index
8 publications · 214 citations
9
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8 publications · 548 citations
9
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1–5