A PyTorch Geometric implementation of Learning to Simulate Complex Physics with Graph Networks (Sanchez-Gonzalez et al., 2020). Trains a GNN to predict particle accelerations from local interactions, reproducing DeepMind's architecture for simulating fluids, with additional fine-tuning on a custom WCSPH dataset.
☆15Mar 2, 2026Updated 7 months ago
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