Motif-based Features
Motif-Based Features is a graph feature engineering method that captures higher-order structural patterns by quantifying the occurrence and arrangement of small subgraph motifs within a network.
67
Publications
4.5K
Citations
254
Authors
126
Institutions
Publications per year
2017–2026
37
Parents
67
Convolutional neural network architectures for predicting DNA–protein binding
Haoyang Zeng, Matthew D. Edwards, Ge Liu et al. · Bioinformatics · 2016 · 549 citations · Full text
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Harvard University
Cambridge, United States
4 h-index
5 publications
721 citations
Tongji University
Shanghai, China
3 h-index
10 publications
534 citations
Aalto University
Espoo, Finland
2 h-index
4 publications
140 citations
Ca' Foscari University of Venice
Venice, Italy
2 h-index
3 publications
120 citations

Shanghai Jiao Tong University
Shanghai, China
2 h-index
2 publications
288 citations

Lehigh University
Bethlehem, United States
2 h-index
3 publications
168 citations
University of Washington
Seattle, United States
2 h-index
2 publications
173 citations

Centre National de la Recherche Scientifique
Paris, France
2 h-index
4 publications
199 citations
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4 publications · 761 citations
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3 publications · 172 citations
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3 publications · 844 citations
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Repository · 2 publications · 71 citations
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TKDE · 2 publications · 57 citations
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