Hot papers on arXiv from the past month: April 2021

Here are the most tweeted papers that were uploaded onto arXiv during April 2021. Results are powered by Arxiv Sanity Preserver. Representation Learning for Networks in Biology and Medicine: Advancements, Challenges, and Opportunities Michelle M. Li, Kexin Huang, Marinka Zitnik Submitted to arXiv on: 11 April 2021 Abstract: With the remarkable success of representation learning in providing powerful predictions and data insights, we have witnessed a rapid expansion of representation learning techniques into modeling, analysis, and learning with networks. Biomedical networks are universal descriptors of systems of interacting elements, from protein interactions to disease networks, all the way to healthcare systems and scientific knowledge. In this review, we put forward an observation that long-standing principles of network biology and medicine -- while often unspoken in machine learning research -- can provide the conceptual grounding for representation learning, explain its current successes and limitations, and inform future advances.