9 citations · 9 across the 2 of their papers we have counts for
3 papers
cs.LG2026
Breaking the Bottlenecks: Scalable Diffusion Models for 3D Molecular Generation
Adrita Das, Peiran Jiang, Dantong Zhu +2
Diffusion models have emerged as a powerful class of generative models for molecular design, capable of capturing complex structural distributions and achieving high fidelity in 3D…
stat.ML2017
Classification in biological networks with hypergraphlet kernels
Jose Lugo-Martinez, Predrag Radivojac
Biological and cellular systems are often modeled as graphs in which vertices represent objects of interest (genes, proteins, drugs) and edges represent relational ties among these…
stat.ML2016★ 9 cited
Ultra High-Dimensional Nonlinear Feature Selection for Big Biological Data
Makoto Yamada, Jiliang Tang, Jose Lugo-Martinez +10
Machine learning methods are used to discover complex nonlinear relationships in biological and medical data. However, sophisticated learning models are computationally unfeasible…