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Post #478

@graphml

Graph Machine Learning

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Publié6 avr.06/04/2021 08:41
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Fresh picks from ArXiv This week on ArXiv: new heterophily datasets, improved inference and expressive power for GNNs 🦹‍ If I forgot to mention your paper, please shoot me a message and I will update the post. GNNs * New Benchmarks for Learning on Non-Homophilous Graphs * Adaptive Filters and Aggregator Fusion for Efficient Graph Convolutions with Pietro Liò * Improving the Expressive Power of Graph Neural Network with Tinhofer Algorithm * Sub-GMN: The Subgraph Matching Network Model * SST-GNN: Simplified Spatio-temporal Traffic forecasting model using Graph Neural Network Math * Using Graph Theory to Derive Inequalities for the Bell Numbers Software * LAGraph: Linear Algebra, Network Analysis Libraries, and the Study of Graph Algorithms Survey * Scene Graphs: A Survey of Generations and Applications