GeSS: Benchmarking Geometric Deep Learning under Scientific Applications with Distribution Shifts

Neural Information Processing Systems 

To bridge this gap, we propose GeSS, a comprehensive benchmark designed for evaluating the performance of GDL models in scientific scenarios with distribution shifts.

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