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20232026
most citedScalable Training of Trustworthy and Energy-Efficient Predictive Graph Foundation Models for Atomistic Materials Modeling: A Case Study with HydraGNN

11 citations · 24 across the 6 of their papers we have counts for

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Showing 2023 · physics.ao-phShow all

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