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

Coskun, MUSTAFA; Koyuturk, Mehmet

doi:10.1093/bioinformatics/btab464

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, Scopus)

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.