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CUAI

Cornell University Artificial Intelligence

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  1. CorrectAndSmooth CorrectAndSmooth Public

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

    Python 285 52

  2. Non-Homophily-Large-Scale Non-Homophily-Large-Scale Public

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

    Python 119 16

  3. Neural-Manifold-Ordinary-Differential-Equations Neural-Manifold-Ordinary-Differential-Equations Public

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

    Python 115 14

  4. Non-Homophily-Benchmarks Non-Homophily-Benchmarks Public

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

    Python 111 19

  5. Intermediate-Level-Attack Intermediate-Level-Attack Public

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

    Python 76 8

  6. Differentiable-Frechet-Mean Differentiable-Frechet-Mean Public

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

    Python 53 4

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