Post #227

Fresh picks from ArXiv This week highlights a new knowledge graph about covid-19, applications to program similarity and drug discovery as well as a group of accepted papers to ECCV 20. GNN • COVID-19 Knowledge Graph: Accelerating Information Retrieval and Discovery for Scientific Literature • funcGNN: A Graph Neural Network Approach to Program Similarity • The expressive power of kth-order invariant graph networks • Fast Graphlet Transform of Sparse Graphs • Visualizing Deep Graph Generative Models for Drug Discovery • Second-Order Pooling for Graph Neural Networks • Graph-PCNN: Two Stage Human Pose Estimation with Graph Pose Refinement • Hierachial Protein Function Prediction with Tails-GNNs with Petar Veličković Conferences • Multi-view adaptive graph convolutions for graph classification ECCV 20 • Comprehensive Image Captioning via Scene Graph Decomposition ECCV 20 • Differentiable Hierarchical Graph Grouping for Multi-Person Pose Estimation ECCV 20 • Grale: Designing Networks for Graph Learning with Bryan Perozzi, KDD 20 • Edge-aware Graph Representation Learning and Reasoning for Face Parsing ECCV 20 Surveys • A Survey on Complex Question Answering over Knowledge Base: Recent Advances and Challenges • A Survey on Graph Neural Networks for Knowledge Graph Completion