108 citations · 118 across the 2 of their papers we have counts for
2 papers
q-bio.MN2023★ 108 cited
Current and future directions in network biology
Marinka Zitnik, Michelle M. Li, Aydin Wells +34
Network biology is an interdisciplinary field bridging computational and biological sciences that has proved pivotal in advancing the understanding of cellular functions and diseas…
cs.LG2023★ 10 cited
GRAF: Graph Attention-aware Fusion Networks
Ziynet Nesibe Kesimoglu, Serdar Bozdag
A large number of real-world networks include multiple types of nodes and edges. Graph Neural Network (GNN) emerged as a deep learning framework to generate node and graph embeddin…