Post #461

Fresh picks from ArXiv This week on ArXiv: comparison of using feature vs edge information, SOTA for heterogeneous graphs, surveys on efficient training of GNNs 🏃‍ If I forgot to mention your paper, please shoot me a message and I will update the post. GNNs * Spatio-temporal Modeling for Large-scale Vehicular Networks Using Graph Convolutional Networks * R-GSN: The Relation-based Graph Similar Network for Heterogeneous Graph * On the Equivalence Between Temporal and Static Graph Representations for Observational Predictions with Bruno Ribeiro * Deep Graph Matching under Quadratic Constraint * Should Graph Neural Networks Use Features, Edges, Or Both? * Deep graph convolution neural network with non-negative matrix factorization for community discovery * Graph Neural Networks Inspired by Classical Iterative Algorithms * Size-Invariant Graph Representations for Graph Classification Extrapolations Survey * Sampling methods for efficient training of graph convolutional networks: A survey * Graph Metrics for Internet Robustness -- A Survey * A Taxonomy for Classification and Comparison of Dataflows for GNN Accelerators