Current and future directions in network biology

no code implementations • 15 Sep 2023 • Marinka Zitnik, Michelle M. Li, Aydin Wells, Kimberly Glass, Deisy Morselli Gysi, Arjun Krishnan, T. M. Murali, Predrag Radivojac, Sushmita Roy, Anaïs Baudot, Serdar Bozdag, Danny Z. Chen, Lenore Cowen, Kapil Devkota, Anthony Gitter, Sara Gosline, Pengfei Gu, Pietro H. Guzzi, Heng Huang, Meng Jiang, Ziynet Nesibe Kesimoglu, Mehmet Koyuturk, Jian Ma, Alexander R. Pico, Nataša Pržulj, Teresa M. Przytycka, Benjamin J. Raphael, Anna Ritz, Roded Sharan, Yang shen, Mona Singh, Donna K. Slonim, Hanghang Tong, Xinan Holly Yang, Byung-Jun Yoon, Haiyuan Yu, Tijana Milenković

As such, it is expected to help shape short- and long-term vision for future computational and algorithmic research in network biology.

Data Integration

Expanding Label Sets for Graph Convolutional Networks

no code implementations • 18 Dec 2019 • Mustafa Coskun, Burcu Bakir Gungor, Mehmet Koyuturk

However, these approaches ignore the tendency of the network diffusion methods in biasing proximity with centrality, resulting in the propagation of labels to the nodes that are well-connected in the graph.

Clustering General Classification +2

Fast Computation of Katz Index for Efficient Processing of Link Prediction Queries

no code implementations • 13 Dec 2019 • Mustafa Coskun, Abdelkader Baggag, Mehmet Koyuturk

We also show that this acceleration in the computation of Katz index can be used to drastically improve the efficiency of processing link prediction queries in very large networks.

Collaborative Filtering Link Prediction