Edge Feature Engineering
Edge Feature Engineering is a methodological framework within graph feature engineering that specifically focuses on constructing, transforming, or augmenting attributes associated with the edges of a graph to enhance the representational power of graph-based machine learning models.
52
Publications
1.8K
Citations
181
Authors
77
Institutions
Publications per year
2017–2026
24
Parents
52
In situ edge engineering in two-dimensional transition metal dichalcogenides
Xiahan Sang, Xufan Li, Wen Zhao et al. · Nature Communications · 2018 · 151 citations · Full text
Natural Sciences, Materials Engineering, Materials Science +10
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Institute of Computing Technology
Beijing, China
2 h-index
5 publications
258 citations
Tsinghua University
Beijing, China
2 h-index
2 publications
172 citations
Guangdong Institute of Intelligent Manufacturing
Guangzhou, China
1 h-index
3 publications
405 citations

Beijing University of Posts and Telecommunications
Beijing, China
1 h-index
3 publications
57 citations

China Three Gorges University
Yichang, China
1 h-index
1 publications
22 citations
Shandong Institute of Automation
Jinan, China
1 h-index
2 publications
150 citations
Fudan University
Shanghai, China
1 h-index
4 publications
100 citations

Kobe University
Kobe, Japan
1 h-index
2 publications
24 citations
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2 publications · 90 citations
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2 publications · 40 citations
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1 publications · 75 citations
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1 publications · 20 citations
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MPE · 1 publications · 12 citations
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