Node similarity-based graph convolution for link prediction in biological networks
ABSTRACT Background Link prediction is an important and well-studied problem in network biology. Recently, graph representation learning methods, including Graph Convolutional Network (GCN)-based node embedding have drawn increasing attention in link prediction. Motivation An important component of...
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| Published in: | Bioinformatics Vol. 37; no. 23; pp. 4501 - 4508 |
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| Main Authors: | , |
| Format: | Journal Article |
| Language: | English |
| Published: |
England
Oxford University Press
07.12.2021
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| Subjects: | |
| ISSN: | 1367-4803, 1367-4811, 1460-2059, 1367-4811 |
| Online Access: | Get full text |
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