Graph-Based Duplicate Detection is a duplicate detection method that uses graph structures to model entities and their relationships, leveraging connectivity patterns and structural similarity to identify duplicate records.
37
Publications
1.5K
Citations
99
Authors
55
Institutions
Publications per year
2017–2026
8
Parents
Publications
37
Multi-Relational Record Linkage
Pedro Domingos · 2003 · 149 citations
Scalable detection of partial near-duplicate videos by visual-temporal consistency
Hung‐Khoon Tan, Chong‐Wah Ngo, Richard S. Hong et al. · 2009 · 109 citations · Full text
1–5 of 37
Authors
99
- FN
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- RC
3
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- RH
3
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- SE
3
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- RZ
3
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1–5 of 99
Institutions
55
Hasso Plattner Institute
Potsdam, Germany
4 h-index
9 publications
453 citations
Mississippi State University
Starkville, United States
3 h-index
4 publications
228 citations
Pennsylvania State University
State College, United States
2 h-index
6 publications
234 citations
Palo Alto Research Center
Palo Alto, United States
2 h-index
2 publications
70 citations
Carnegie Mellon University
Pittsburgh, United States
2 h-index
4 publications
179 citations
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo"
Pisa, Italy
1 h-index
4 publications
40 citations
Wonkwang University
Iksan, South Korea
1 h-index
1 publications
17 citations
Advanced Technologies Application Center
Havana, Cuba
1 h-index
2 publications
30 citations
1–8 of 55
Venues
- Proceedings of the VLDB Endowment
PVLDB · 3 publications · 319 citations
3
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- arXiv (Cornell University)
Repository · 2 publications · 44 citations
2
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- Journal of Data and Information Quality
JDIQ · 2 publications · 43 citations
2
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- IEEE Transactions on Knowledge and Data Engineering
TKDE · 2 publications · 48 citations
2
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- MADOC (University of Mannheim)
Repository · 1 publications · 52 citations
1
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