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Runs optimized CUDA kernels for symmetric contractions and triangle operations, achieving up to 200x speedup.
Distinct from Geometric Deep Learning Frameworks: Distinct from Geometric Deep Learning Frameworks: focuses on GPU-accelerated kernel implementations for geometric operations, not the frameworks themselves.
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Runs optimized CUDA kernels for symmetric contractions and triangle operations, achieving up to 200x speedup.