Post #356

Fresh picks from ArXiv Today at ArXiv: fast algorithms for dynamic graphs, new adversarial attacks, and GNNs for generating dances 💃 If I forgot to mention your paper, please shoot me a message and I will update the post. GNN - Curvature Regularization to Prevent Distortion in Graph Embedding NeurIPS 2020 - Fast and Uncertainty-Aware Directional Message Passing for Non-Equilibrium Molecules with Stephan Günnemann, Workshop NeurIPS 2020 - A Targeted Universal Attack on Graph Convolutional Network - Fast and Accurate Anomaly Detection in Dynamic Graphs with a Two-Pronged Approach with Christos Faloutsos - Near-Optimal Algorithms for Reachability, Strongly-Connected Components and Shortest Paths in Partially Dynamic Digraphs Applications - Video Self-Stitching Graph Network for Temporal Action Localization - Learning to dance: A graph convolutional adversarial network to generate realistic dance motions from audio - RetroGNN: Approximating Retrosynthesis by Graph Neural Networks for De Novo Drug Design Workshop NeurIPS 2020 - Quantifying Explainers of Graph Neural Networks in Computational Pathology