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