Post #485

Fresh picks from ArXiv This week on ArXiv: improved power of GNNs, new autoML library for graphs, and decreasing query time for graph traversal 🕔 If I forgot to mention your paper, please shoot me a message and I will update the post. GNNs * Theoretically Improving Graph Neural Networks via Anonymous Walk Graph Kernels * A Graph VAE and Graph Transformer Approach to Generating Molecular Graphs * Learning to Coordinate via Multiple Graph Neural Networks * DyGCN: Dynamic Graph Embedding with Graph Convolutional Network * Hyperbolic Variational Graph Neural Network for Modeling Dynamic Graphs with Philip S. Yu * The World as a Graph: Improving El Niño Forecasts with Graph Neural Networks kNN * Graph Reordering for Cache-Efficient Near Neighbor Search with Alex Smola Software * AutoGL: A Library for Automated Graph Learning Survey * Representation Learning for Networks in Biology and Medicine: Advancements, Challenges, and Opportunities with Marinka Zitnik