Graph Annotation
Graph Annotation is a scholarly technique within graph visualization that involves the systematic addition of descriptive, semantic, or metadata labels to nodes, edges, or regions of a graph to enhance interpretability, distinguishable from related methods by its focus on augmenting visual representations with informative textual or symbolic annotations.
96
Publications
6.5K
Citations
288
Authors
140
Institutions
Publications per year
2017–2026
30
96
Algorithms for drawing graphs: an annotated bibliography
Giuseppe Di Battista, Peter Eades, Roberto Tamassia et al. · Computational Geometry · 1994 · 860 citations
Edward Choi, Mohammad Taha Bahadori, Le Song et al. · 2017 · 653 citations · Full text
AutoAnnotate: A Cytoscape app for summarizing networks with semantic annotations
Mike Kucera, Ruth Isserlin, Arkady Arkhangorodsky et al. · F1000Research · 2016 · 400 citations · Full text
A programmatic introduction to Neo4j
Jim Webber · 2012 · 335 citations
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140
Stanford University
Stanford, United States
4 h-index
8 publications
140 citations

University of Toronto
Toronto, Canada
3 h-index
9 publications
2.3K citations

Zhejiang University
Hangzhou, China
3 h-index
5 publications
512 citations
Wuhan University
Wuhan, China
3 h-index
9 publications
237 citations
AT&T (United States)
Bedminster, United States
2 h-index
3 publications
204 citations

University of Manchester
Manchester, United Kingdom
2 h-index
6 publications
153 citations
University of California, Berkeley
Berkeley, United States
2 h-index
4 publications
229 citations
University of Michigan
Ann Arbor, United States
2 h-index
2 publications
241 citations
1–8 of 140
Repository · 2 publications · 71 citations
3
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TVCG · 1 publications · 273 citations
2
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2 publications · 216 citations
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PROC · 2 publications · 47 citations
2
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2 publications · 83 citations
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