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GemNet-based delta-learning for molecular energy prediction, covering random split, OOD generalization, cross-domain transfer, and data-efficiency experiments on QM9/tmQM benchmarks. Includes reproducible scripts, embedding analysis, and figure notebooks for the paper.
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Initial commit: source code, notebooks, and docs (no large artifacts)
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