Graph-based Querying
Graph-Based Querying is a visual querying method that employs graph structures to represent and navigate relationships between visual data elements, distinguishing itself by leveraging nodes and edges to model semantic or spatial associations for interactive exploration and retrieval.
250
Publications
12.3K
Citations
673
Authors
293
Institutions
Publications per year
2017–2026
70
Parents
250
Nadime Francis, Alastair Green, Paolo Guagliardo et al. · 2018 · 520 citations · Full text
Bidirectional expansion for keyword search on graph databases
Varun Kacholia, Shashank Pandit, Soumen Chakrabarti et al. · 2005 · 480 citations
Conceptual Graphs for a Data Base Interface
John F. Sowa · IBM Journal of Research and Development · 1976 · 360 citations
Mariano P. Consens, Alberto O. Mendelzon · 1990 · 346 citations · Full text
A distributed graph engine for web scale RDF data
Kai Zeng, Jiacheng Yang, Haixun Wang et al. · Proceedings of the VLDB Endowment · 2013 · 313 citations
1–5 of 250
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293

University of Edinburgh
Edinburgh, United Kingdom
13 h-index
21 publications
2.7K citations
Nanyang Technological University
Singapore, Singapore
12 h-index
37 publications
815 citations
Université Claude Bernard Lyon 1
Villeurbanne, France
11 h-index
13 publications
558 citations
Hong Kong Baptist University
Hong Kong, Hong Kong
11 h-index
17 publications
390 citations
Eindhoven University of Technology
Eindhoven, The Netherlands
10 h-index
18 publications
747 citations
University of California, Santa Barbara
Santa Barbara, United States
8 h-index
20 publications
758 citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
8 h-index
13 publications
355 citations

University of Toronto
Toronto, Canada
8 h-index
22 publications
2.2K citations
1–8 of 293
PVLDB · 18 publications · 1.1K citations
16
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TKDE · 10 publications · 456 citations
10
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6 publications · 424 citations
6
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Repository · 6 publications · 129 citations
6
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3 publications · 158 citations
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