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1. CorrectAndSmooth CorrectAndSmoothPublic

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

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2. Non-Homophily-Large-Scale Non-Homophily-Large-ScalePublic

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

   Python 129 19

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

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

   Python 128 15

4. Non-Homophily-Benchmarks Non-Homophily-BenchmarksPublic

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

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5. Intermediate-Level-Attack Intermediate-Level-AttackPublic

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

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6. Differentiable-Frechet-Mean Differentiable-Frechet-MeanPublic

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

   Python 61 5