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1. n_body_approx n_body_approx Public

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2. Revising-the-N-body-Problem-as-a-Benchmark-for-Geometric-Deep-Learning Revising-the-N-body-Problem-as-a-Benchmark-for-Geometric-Deep-Learning Public

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3. HEGNN HEGNN Public

   Forked from GLAD-RUC/HEGNN

   Official implementation of HEGNN, a novel high-degree equivariant graph neural network proposed in the NeurIPS 2024 paper 'Are High-Degree Representations Really Unnecessary in Equivariant Graph Ne…

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4. GMN GMN Public

   Forked from hanjq17/GMN

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5. EGNO EGNO Public

   Forked from MinkaiXu/EGNO

   ICML2024: Equivariant Graph Neural Operator for Modeling 3D Dynamics

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6. Extending-the-N-body-Benchmark-A-Cross-Model-Study-of-Geometric-Deep-Learning-Architectures Extending-the-N-body-Benchmark-A-Cross-Model-Study-of-Geometric-Deep-Learning-Architectures Public

   Forked from Simona-Biosystems/Extending-the-N-body-Benchmark-A-Cross-Model-Study-of-Geometric-Deep-Learning-Architectures

   Code accompanying the "Extending the N-body Benchmark: A Cross-Model Study of Geometric Deep Learning Architectures" paper.

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