Post #53

Fresh picks from ArXiv ICML and KDD 20 submissions, AISTATS 20, Graph Isomorphism, and Review ICML 20 submissions Graph Convolutional Gaussian Processes For Link Prediction When Labelled Data Hurts: Deep Semi-Supervised Classification with the Graph 1-Laplacian Improving Graph Neural Network Representations of Logical Formulae with Subgraph Pooling Differentiable Graph Module (DGM) for Graph Convolutional Network by group of Michael Bronstein Deep Multi-Task Augmented Feature Learning via Hierarchical Graph Neural Network Graph Universal Adversarial Attacks: A Few Bad Actors Ruin Graph Learning Models Towards Similarity Graphs Constructed by Deep Reinforcement Learning by Yandex team Connectivity-driven Communication in Multi-agent Reinforcement Learning through Diffusion Processes on Graphs Explainable Deep Modeling of Tabular Data using TableGraphNet Graph Filtration Learning Graph Prolongation Convolutional Networks Deep Coordination Graphs Unifying Graph Convolutional Neural Networks and Label Propagation by group of Jure Leskovec KDD 20 submissions Disease State Prediction From Single-Cell Data Using Graph Attention Networks Entity Context and Relational Paths for Knowledge Graph Completion by group of Jure Leskovec Theory Generalization and Representational Limits of Graph Neural Networks by group of Tommi Jaakkola Graph Isomorphism A polynomial time parallel algorithm for graph isomorphism using a quasipolynomial number of processors Isomorphism for Random k-Uniform Hypergraphs Review Hypergraphs: an introduction and review