Post #187

Fresh picks from ArXiv This week highlights applications of GNNs to molecules, contagion, NLP, recommender systems and more. GNN • Generalizing Graph Neural Networks Beyond Homophily • Finding Patient Zero: Learning Contagion Source with Graph Neural Networks with Albert-László Barabási • MoFlow: An Invertible Flow Model for Generating Molecular Graphs • Quantifying Challenges in the Application of Graph Representation Learning • Neural Architecture Optimization with Graph VAE • Interactive Recommender System via Knowledge Graph-enhanced Reinforcement Learning • Subgraph Neural Networks with Marinka Zitnik • Temporal Graph Networks for Deep Learning on Dynamic Graphs with Michael Bronstein • Erdos Goes Neural: an Unsupervised Learning Framework for Combinatorial Optimization on Graphs with Andreas Loukas • Walk Message Passing Neural Networks and Second-Order Graph Neural Networks • Isometric Graph Neural Networks • Modeling Graph Structure via Relative Position for Better Text Generation from Knowledge Graphs • Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting with Michael Bronstein Math: • Local limit theorems for subgraph counts • Longest and shortest cycles in random planar graphs Conferences • How to Count Triangles, without Seeing the Whole Graph KDD 2020 • GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training KDD 2020 Surveys • Localized Spectral Graph Filter Frames: A Unifying Framework, Survey of Design Considerations, and Numerical Comparison