2 citations · 3 across the 2 of their papers we have counts for
2 papers
q-bio.BM2022★ 1 cited
Generative Enriched Sequential Learning (ESL) Approach for Molecular Design via Augmented Domain Knowledge
Mohammad Sajjad Ghaemi, Karl Grantham, Isaac Tamblyn +2
Deploying generative machine learning techniques to generate novel chemical structures based on molecular fingerprint representation has been well established in molecular design.…
cs.NE2021★ 2 cited
Deep Evolutionary Learning for Molecular Design
Yifeng Li, Hsu Kiang Ooi, Alain Tchagang
In this paper, we propose a deep evolutionary learning (DEL) process that integrates fragment-based deep generative model and multi-objective evolutionary computation for molecular…