Graph-based Vulnerability Detection
Graph-Based Vulnerability Detection is a methodological framework within software vulnerability discovery that represents code structures and program behaviors as graphs to enable the systematic identification of security flaws through graph-theoretic analysis and pattern recognition.
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5K
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374
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151
Institutions
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2017–2026
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Smart Contract Vulnerability Detection using Graph Neural Network
Yuan Zhuang, Zhenguang Liu, Peng Qian et al. · 2020 · 376 citations · Full text
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Iowa State University
Ames, United States
5 h-index
16 publications
455 citations
Tsinghua University
Beijing, China
5 h-index
20 publications
2.2K citations
Singapore Management University
Singapore, Singapore
4 h-index
6 publications
216 citations

Yangzhou University
Yangzhou, China
4 h-index
19 publications
2K citations
Nanyang Technological University
Singapore, Singapore
4 h-index
14 publications
2.8K citations

Zhejiang University
Hangzhou, China
3 h-index
8 publications
1K citations

Harbin Institute of Technology
Harbin, China
3 h-index
10 publications
504 citations
National University of Singapore
Singapore, Singapore
3 h-index
3 publications
730 citations
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5 publications · 144 citations
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JSS · 5 publications · 393 citations
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Repository · 6 publications · 610 citations
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TSE · 4 publications · 182 citations
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4 publications · 294 citations
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