Topological Feature Engineering
Topological Feature Engineering is a methodological framework within graph feature engineering that derives features from the higher-order connectivity patterns and structural hierarchies of a graph, leveraging topological data analysis to capture intrinsic geometric and algebraic invariants beyond local neighborhood structures.
57
Publications
2.9K
Citations
168
Authors
84
Institutions
Publications per year
2017–2026
31
Parents
57
Identifying topological order through unsupervised machine learning
Nature Physics · 2019 · 271 citations · Full text
1–5 of 57
168
Laboratoire de Statistique Théorique et Appliquée, France
3 publications · 247 citations
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1–5 of 168
84
Carnegie Mellon University
Pittsburgh, United States
3 h-index
6 publications
108 citations
Nanyang Technological University
Singapore, Singapore
3 h-index
9 publications
426 citations

South China University of Technology
Guangzhou, China
2 h-index
4 publications
352 citations

Sorbonne Université
Paris, France
2 h-index
2 publications
28 citations
Laboratoire de Mathématiques Jean Leray
Nantes, France
2 h-index
2 publications
72 citations
Jazan University
Gazan, Saudi Arabia
2 h-index
1 publications
11 citations
Michigan State University
East Lansing, United States
2 h-index
5 publications
119 citations

Lawrence Berkeley National Laboratory
Berkeley, United States
2 h-index
4 publications
190 citations
1–8 of 84
Repository · 3 publications · 125 citations
3
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3 publications · 438 citations
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2 publications · 120 citations
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1 publications · 50 citations
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1 publications · 15 citations
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1–5