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Published in International Conference on Machine Learning(ICML), 2025
MABNet introduces a geometric attention framework that efficiently models four-body atomic interactions, overcoming limitations of traditional methods in capturing complex many-body effects, and achieves state-of-the-art performance on molecular property prediction benchmarks.
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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