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Post #466

@graphml

Graph Machine Learning

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Publié23 mars23/03/2021 09:29
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Fresh picks from ArXiv This week on ArXiv: large-scale node prediction competition, GNNs for 3D objects, and improved performance for imbalanced classification 👯‍♀️ If I forgot to mention your paper, please shoot me a message and I will update the post. GNNs * OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs with Jure Leskovec * Concentric Spherical GNN for 3D Representation Learning with Le Song * GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networks *Catastrophic Forgetting in Deep Graph Networks: an Introductory Benchmark for Graph Classification Applications * A graph theoretical approach to the firebreak locating problem * Exploiting Isomorphic Subgraphs in SAT (Long version) * ChronoR: Rotation Based Temporal Knowledge Graph Embedding * Code Completion by Modeling Flattened Abstract Syntax Trees as Graphs * NetVec: A Scalable Hypergraph Embedding System Software * GNNerator: A Hardware/Software Framework for Accelerating Graph Neural Networks * Characterizing the Communication Requirements of GNN Accelerators: A Model-Based Approach