Post #415

Fresh picks from ArXiv This week on ArXiv: scaling GNNs to billions of edges, connection between label propagation and message passing, and GNNs for DAGs 🗡 Scalability * Learning Massive Graph Embeddings on a Single Machine * PyTorch-Direct: Enabling GPU Centric Data Access for Very Large Graph Neural Network Training with Irregular Accesses Graph models * Generating a Doppelganger Graph: Resembling but Distinct * A Generalized Weisfeiler-Lehman Graph Kernel * A Unifying Generative Model for Graph Learning Algorithms: Label Propagation, Graph Convolutions, and Combinations with Austin R. Benson * Hypergraph clustering: from blockmodels to modularity with Austin R. Benson ICLR 2021 * Boost then Convolve: Gradient Boosting Meets Graph Neural Networks with me * Directed Acyclic Graph Neural Networks WWW 2021 * How Do Hyperedges Overlap in Real-World Hypergraphs? -- Patterns, Measures, and Generators Survey *A Review of Graph Neural Networks and Their Applications in Power Systems