Predicting Drug-Drug Interactions using Deep Generative Models on Graphs. - Nhat Khang Ngo; Truong Son-Hy; Risi Kondor (CoRR, 2022)

Multiresolution Graph Transformers and Wavelet Positional Encoding for Learning Hierarchical Structures. - Nhat Khang Ngo; Truong Son Hy; Risi Kondor (CoRR, 2023)

Modeling Polypharmacy and Predicting Drug-Drug Interactions using Deep Generative Models on Multimodal Graphs. - Nhat Khang Ngo; Truong Son-Hy; Risi Kondor (CoRR, 2023)

Target-aware Variational Auto-encoders for Ligand Generation with Multimodal Protein Representation Learning. - Nhat Khang Ngo; Truong Son Hy (CoRR, 2023)

E(3)-Equivariant Mesh Neural Networks. - Thuan Anh Trang; Nhat Khang Ngo; Daniel T. Levy; Ngoc Thieu Vo; Siamak Ravanbakhsh; Truong Son Hy (AISTATS, 2024)

E(3)-Equivariant Mesh Neural Networks. - Thuan N. A. Trang; Nhat Khang Ngo; Daniel T. Levy; Thieu N. Vo; Siamak Ravanbakhsh; Truong Son Hy (CoRR, 2024)

Range-aware Positional Encoding via High-order Pretraining: Theory and Practice. - Viet Anh Nguyen; Nhat Khang Ngo; Truong Son Hy (CoRR, 2024)

Multimodal protein representation learning and target-aware variational auto-encoders for protein-binding ligand generation. - Nhat Khang Ngo; Truong Son Hy (Mach. Learn. Sci. Technol., 2024)

Scalable Hierarchical Self-Attention with Learnable Hierarchy for Long-Range Interactions. - Thuan Nguyen Anh Trang; Nhat Khang Ngo; Hugo Sonnery; Thieu N. Vo; Siamak Ravanbakhsh; Truong Son Hy (Trans. Mach. Learn. Res., 2024)

GROOT: Effective Design of Biological Sequences with Limited Experimental Data. - Thanh V. T. Tran; Nhat Khang Ngo; Viet Anh Nguyen; Truong Son Hy (KDD (1), 2025)

LatentDE: latent-based directed evolution for protein sequence design. - Thanh V. T. Tran; Nhat Khang Ngo; Viet Thanh Duy Nguyen; Truong Son Hy (Mach. Learn. Sci. Technol., 2025)