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A Graph-based Neural-network Surrogate Model for an Accelerating Semianalytical Model of Galaxy Formation and Evolution

  • Authors: Xuejie Li, Zhongxu Zhai, Xiaohu Yang, Andrew Benson, Yun Wang

Xuejie Li et al 2026 The Astrophysical Journal Supplement Series 286 .

  • Provider: AAS Journals

Caption: Figure 13.

F1 scores for the quenched and floor states in gas metal mass under three data settings: the full cross-SAM problem, a single-SAM problem, and a single-SAM balanced-tree setting. Each panel corresponds to one of the first four redshift outputs. Within each panel, the two bar styles represent the two binary targets.

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