1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2024
E(3)-Equivariant Mesh Neural Networks
Thuan Trang, Nhat Khang Ngo, Daniel Levy +3
Triangular meshes are widely used to represent three-dimensional objects. As a result, many recent works have address the need for geometric deep learning on 3D mesh. However, we o…
q-bio.BM2023
Target-aware Variational Auto-encoders for Ligand Generation with Multimodal Protein Representation Learning
Nhat Khang Ngo, Truong Son Hy
Without knowledge of specific pockets, generating ligands based on the global structure of a protein target plays a crucial role in drug discovery as it helps reduce the search spa…
cs.LG2023★ 1 cited
Modeling Polypharmacy and Predicting Drug-Drug Interactions using Deep Generative Models on Multimodal Graphs
Nhat Khang Ngo, Truong Son Hy, Risi Kondor
Latent representations of drugs and their targets produced by contemporary graph autoencoder models have proved useful in predicting many types of node-pair interactions on large n…