CUAI - Giters

CUAI's repositories

[ICLR 2021] Combining Label Propagation and Simple Models Out-performs Graph Neural Networks (https://arxiv.org/abs/2010.13993)

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[NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)

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[WWW 2021 GLB] New Benchmarks for Learning on Non-Homophilous Graphs

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[NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods

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[ICCV 2019] Enhancing Adversarial Example Transferability with an Intermediate Level Attack (https://arxiv.org/abs/1907.10823)

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[ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).

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[NeurIPS 2020] Better Set Representations For Relational Reasoning (https://arxiv.org/abs/2003.04448)

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Edge Proposal Sets for Link Prediction (https://arxiv.org/abs/2106.15810)

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[NeurIPS 2023] Riemannian Residual Neural Networks (https://arxiv.org/abs/2006.10254)

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[NeurIPS 2021] Equivariant Manifold Flows (https://arxiv.org/abs/2107.08596)

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CUAI official club site.

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[NeurIPS 2022]GAPX: Generalized Autoregressive Paraphrase-identification X

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