GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule Zero-Shot Learning
Haiteng Zhao, Shengchao Liu, Chang Ma, Hannan Xu, Jie Fu, Zhi‐Hong Deng, Lingpeng Kong, Qi Liu
GIMLET is a graph-text model that uses natural language instructions for zero-shot molecule property prediction, outperforming baselines and approaching supervised models.
bioRxiv · May 30, 2023 · PreprintBioinformatics