Small-molecule drug discovery remains a cornerstone of modern therapeutics, yet traditional development pipelines are often limited by high costs, long timelines, and low success rates. Recent advances in graph-structured deep learning have significantly transformed the modeling of molecular structures, biological inte...
Jun-Wei Hu, Wei-Guo Zhang, Zhuo-Hao Lin et al.· Transactions on Graph Intell...· 0 citations
The results support adaptive source selection as a useful strategy for molecular prediction under strong structural distribution shifts and support adaptive source selection as a useful strategy for molecular prediction under strong structural distribution shifts.
Zhuo-Hao Lin, Kun Li, Jia-Meng Chen et al.· 1 citation
This paper proposes UniEdit, a Unified Graph-based Mixture-of-Experts (MoE) Molecular Editing model that offers a robust alternative to LLMs and incorporates a Mixture-of-Experts architecture that dynamically routes tasks to specialized components.
Jia-Jun Yu, Zhihao Wu, Yizhen Zheng et al.· Knowledge Discovery and Data...· 0 citations
Evidence of cross-lingual efficacy of code-based LLMs for Chinese QA tasks, further enhanced through Code Llama-M's expanded Chinese vocabulary is found, and successful application of the fine-tuned LLM in a live assistant system, enhancing user experience is demonstrated.
Jiajun Yu, Linghan Zheng, Hui Liu et al.· Annual International ACM SIG...· 0 citations
This paper proposes UniEdit, a Unified Graph-based Mixture-of-Experts (MoE) Molecular Editing model that offers a robust alternative to LLMs and incorporates a Mixture-of-Experts architecture that dynamically routes tasks to specialized components.
Jiajun Yu, Zhihao Wu, Yizhen Zheng et al.· Proceedings of the 32nd ACM...· 0 citations
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