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Fresh picks from ArXiv This week on ArXiv: GNN link with causal models, augmenting data, and using knowledge graphs with BERT 🧸 If I forgot to mention your paper, please shoot me a message and I will update the post. GNNs * Relating Graph Neural Networks to Structural Causal Models with Petar Veličković, Kristian Kersting * A Study of Joint Graph Inference and Forecasting with Stephan Günnemann * Is Heterophily A Real Nightmare For Graph Neural Networks To Do Node Classification? * Local Augmentation for Graph Neural Networks * Mixture-of-Partitions: Infusing Large Biomedical Knowledge Graphs into BERT EMNLP 2021 Math * There does not exist a strongly regular graph with parameters (1911,270,105,27) * On the Fundamental Limits of Matrix Completion: Leveraging Hierarchical Similarity Graphs