Information Graphs
Information Graphs is a structural visualization framework that integrates nodes and edges to represent entities and their interrelations, distinguished by its emphasis on encoding hierarchical, semantic, or contextual data to facilitate interpretability and analytical reasoning in complex information spaces.
58
Publications
14.1K
Citations
125
Authors
61
Institutions
Publications per year
2017–2026
14
Parents
58
Inductive Representation Learning on Large Graphs
William L. Hamilton, Rex Ying, Jure Leskovec · arXiv (Cornell University) · 2017 · 4.5K citations · Full text
A survey of heterogeneous information network analysis
Chuan Shi, Yitong Li, Jiawei Zhang et al. · IEEE Transactions on Knowledge and Data Engineering · 2016 · 1.1K citations
1–5 of 58
125
4
h-index
2
h-index
National Research Nuclear University MEPhI, Russia
2 publications · 21 citations
2
h-index
2
h-index
2
h-index
1–5 of 125
61
University of Illinois Urbana-Champaign
Urbana, United States
7 h-index
17 publications
900 citations
University of Washington
Seattle, United States
3 h-index
2 publications
660 citations

Beijing University of Posts and Telecommunications
Beijing, China
2 h-index
4 publications
2.4K citations
Microsoft (United States)
Redmond, United States
2 h-index
3 publications
57 citations
American Institute of Aeronautics and Astronautics
Reston, United States
2 h-index
2 publications
660 citations

University of Trento
Trento, Italy
2 h-index
6 publications
94 citations
National Research Nuclear University MEPhI
Moscow, Russia
2 h-index
4 publications
42 citations
University of Florida
Gainesville, United States
2 h-index
4 publications
144 citations
1–8 of 61
Repository · 4 publications · 4.7K citations
4
h-index
3 publications · 914 citations
3
h-index
2 publications · 21 citations
2
h-index
1 publications · 34 citations
1
h-index
DTA · 1 publications · 10 citations
1
h-index
1–5