Multi-task Parallelism for Robust Pre-training of Graph Foundation Models on Multi-source, Multi-fidelity Atomistic Modeling Data

Massimiliano Lupo Pasini; Jong Youl Choi; Pei Zhang; Kshitij R. Mehta; Rylie Weaver; Ashwin M. Aji; Karl W. Schulz; Jordà Polo; Prasanna Balaprakash

doi:10.1007/978-3-032-22205-3_1

Multi-task Parallelism for Robust Pre-training of Graph Foundation Models on Multi-source, Multi-fidelity Atomistic Modeling Data

Communications in computer and information science 2026 Open access

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Authors: Massimiliano Lupo Pasini, Jong Youl Choi, Pei Zhang, Kshitij R. Mehta, Rylie Weaver, Ashwin M. Aji, Karl W. Schulz, Jordà Polo, Prasanna Balaprakash

DOI: 10.1007/978-3-032-22205-3_1

Cited by: 0

Fields of Study & Subjects

Machine Learning in Materials Science Advanced Graph Neural Networks Graph Theory and Algorithms

Publication details

Journal / source: Communications in computer and information science
Pages: 3–17
Publication date: 1 January 2026
Language: EN