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

Mustafa Coskun, Mehmet Koyutürk

Abstract: 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.