Post #721

Wednesday Papers Something you might be interested in while waiting for the LOG reviews (unless you are writing emergency reviews, hehe) - Expander Graphs Are Globally Synchronising by Pedro Abdalla, Afonso S. Bandeira, Martin Kassabov, Victor Souza, Steven H. Strogatz, Alex Townsend. In the previous posts, we covered interesting properties of Expander Graphs (Cayley graphs). This new work on the theory side employs expander graphs to demonstrate that random Erdos-Renyi graphs G(n,p) are connected if p ≥ (1 + eps)(log n)/n👏 - On Classification Thresholds for Graph Attention with Edge Features by Kimon Fountoulakis, Dake He, Silvio Lattanzi, Bryan Perozzi, Anton Tsitsulin, Shenghao Yang - Simplifying Node Classification on Heterophilous Graphs with Compatible Label Propagation by Zhiqiang Zhong, Sergei Ivanov, Jun Pang - Graphein - a Python Library for Geometric Deep Learning and Network Analysis on Protein Structures and Interaction Networks by Arian R. Jamasb, Ramon Viñas, Eric J. Ma, Charlie Harris, Kexin Huang, Dominic Hall, Pietro Lió, Tom L. Blundell - Annotation of spatially resolved single-cell data with STELLAR by Maria Brbić, Kaidi Cao, John W. Hickey, Yuqi Tan, Michael P. Snyder, Garry P. Nolan & Jure Leskovec