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Post #637

@graphml

Graph Machine Learning

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Publié30 nov.30/11/2021 17:41
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Fresh picks from ArXiv This week on ArXiv: feature propagation to alleviate missing node features, new sota for molecular prediction, and benchmarks on GNN explanations 👴 If I forgot to mention your paper, please shoot me a message and I will update the post. GNNs * Multi-fidelity Stability for Graph Representation Learning with Joan Bruna * AutoHEnsGNN: Winning Solution to AutoGraph Challenge for KDD Cup 2020 * Demystifying Graph Neural Network Explanations * Unsupervised Learning for Identifying High Eigenvector Centrality Nodes: A Graph Neural Network Approach * On the Unreasonable Effectiveness of Feature propagation in Learning on Graphs with Missing Node Features with Michael Bronstein * Directional Message Passing on Molecular Graphs via Synthetic Coordinates with Stephan Günnemann