25 citations · 25 across the 3 of their papers we have counts for
3 papers
cs.LG2023
Torsion Graph Neural Networks
Cong Shen, Xiang Liu, Jiawei Luo +1
Geometric deep learning (GDL) models have demonstrated a great potential for the analysis of non-Euclidian data. They are developed to incorporate the geometric and topological inf…
physics.comp-ph2023
Molecular geometric deep learning
Cong Shen, Jiawei Luo, Kelin Xia
Geometric deep learning (GDL) has demonstrated huge power and enormous potential in molecular data analysis. However, a great challenge still remains for highly efficient molecular…
q-bio.GN2022★ 25 cited
iEnhancer-ELM: improve enhancer identification by extracting position-related multiscale contextual information based on enhancer language models
Jiahao Li, Zhourun Wu, Wenhao Lin +4
Motivation: Enhancers are important cis-regulatory elements that regulate a wide range of biological functions and enhance the transcription of target genes. Although many feature…