Jianhui Yin

Cite Jump to ExpandCollapse ArticleJune 30, 2026 Proximity-Driven Protein Ligation Beyond the Concentration Limit Click to copy article linkArticle link copied! Jianhui Yin Jianhui Yin Shanghai Key Laboratory for Antibody-Drug Conjugates with Innovative Target, National Key Laboratory of Innovative Immunotherapy, School of Chemistry and Chemical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China Xinliang Liu* Xinliang Liu Center for Chemical Glycobiology, Shanghai Key...

1 Introduction The rapid progression of global urbanization has significantly boosted economic prosperity and social advancement; however, it has simultaneously intensified critical issues, including resource depletion, environmental degradation, and extreme climatic events (Cohen, 2006; Zhang, 2016). These challenges pose unprecedented threats to cities’ capacity to maintain long-term Urban Sustainability (US) and Urban Resilience (UR).

2.3.1. Hyperparameter Optimization (1) Node-embedding dimension optimization A key parameter in the AGCRN model is the node-embedding dimension. The optimal dimension for node embedding in the model is determined through hyperparameter optimization. The model performance under different node-embedding dimensions is shown in Figure 5. As shown in Figure 5a, the MAE and MAPE values of the model initially decreased with increasing node-embedding dimension, and then gradually increased.