Node similarity-based graph convolution for link prediction in biological networks

Coskun M., Koyuturk M.

BIOINFORMATICS, cilt.37, sa.23, ss.4501-4508, 2021 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 37 Sayı: 23
  • Basım Tarihi: 2021
  • Doi Numarası: 10.1093/bioinformatics/btab464
  • Dergi Adı: BIOINFORMATICS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.4501-4508
  • Ankara Üniversitesi Adresli: Hayır

Özet

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.