Graph-based Summarization
Graph-Based Summarization is a text summarization approach that models the document as a graph structure, where sentences or words are represented as nodes and their semantic or contextual relationships as edges, to identify the most salient information through graph-theoretic measures such as centrality or connectivity.
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19.8K
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863
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348
Institutions
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2017–2026
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Efficient aggregation for graph summarization
Yuanyuan Tian, Richard A. Hankins, Jignesh M. Patel · 2008 · 440 citations
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Peking University
Beijing, China
18 h-index
37 publications
2.6K citations
Carnegie Mellon University
Pittsburgh, United States
10 h-index
18 publications
2.2K citations

Chinese Academy of Sciences
Beijing, China
9 h-index
21 publications
1.1K citations
IBM (United States)
Armonk, United States
7 h-index
8 publications
341 citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
6 h-index
16 publications
540 citations

Centre National de la Recherche Scientifique
Paris, France
6 h-index
17 publications
469 citations
University of Michigan
Ann Arbor, United States
6 h-index
13 publications
1.5K citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
5 h-index
13 publications
297 citations
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Repository · 13 publications · 758 citations
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TKDE · 7 publications · 276 citations
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PVLDB · 5 publications · 167 citations
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Conference · 5 publications · 191 citations
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5 publications · 259 citations
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