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What Can Neural Networks Reason About?, , , , , and . CoRR, (2019)How does a Neural Network's Architecture Impact its Robustness to Noisy Labels?, , , , and . NeurIPS, page 9788-9803. (2021)Optimization of Graph Neural Networks: Implicit Acceleration by Skip Connections and More Depth., , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 11592-11602. PMLR, (2021)Graph Neural Tangent Kernel: Fusing Graph Neural Networks with Graph Kernels, , , , , and . (2019)Are Girls Neko or Shōjo? Cross-Lingual Alignment of Non-Isomorphic Embeddings with Iterative Normalization., , , , and . ACL (1), page 3180-3189. Association for Computational Linguistics, (2019)Graph Neural Tangent Kernel: Fusing Graph Neural Networks with Graph Kernels., , , , , and . NeurIPS, page 5724-5734. (2019)Generating Random Spanning Trees via Fast Matrix Multiplication., and . LATIN, volume 9644 of Lecture Notes in Computer Science, page 522-535. Springer, (2016)What Can Neural Networks Reason About?, , , , , and . ICLR, OpenReview.net, (2020)GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training., , , , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 1204-1215. PMLR, (2021)Information Obfuscation of Graph Neural Networks., , , , , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 6600-6610. PMLR, (2021)