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The Journal of Chemical Physics
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April 8, 2026
EquiHGNN: Scalable rotationally equivariant hypergraph neural networks
Tien Dang, Truong-Son Hy
Biology Methods & Protocols
|
July 10, 2024
Multimodal pretraining for unsupervised protein representation learning
Viet Thanh Duy Nguyen, Truong Son Hy
The Journal of Chemical Physics
|
July 19, 2023
Multiresolution graph transformers and wavelet positional encoding for learning long-range and hierarchical structures
Nhat Khang Ngo, Truong Son Hy, Risi Kondor
Communications Chemistry
|
February 15, 2026
Enabling multi-target drug discovery through latent evolutionary optimization and synthesis-aware prioritization (EVOSYNTH)
Viet Thanh Duy Nguyen, Phuc Pham, Truong-Son Hy
Structural Dynamics (Melville, N.Y.)
|
December 4, 2024
ProteinReDiff: Complex-based ligand-binding proteins redesign by equivariant diffusion-based generative models
Viet Thanh Duy Nguyen, Nhan D Nguyen, Truong Son Hy
Scientific Reports
|
July 16, 2024
MGLEP: Multimodal Graph Learning for Modeling Emerging Pandemics with Big Data
Khanh-Tung Tran, Truong Son Hy, Lili Jiang, et al.
Frontiers in Systems Biology
|
December 24, 2025
BioMedKG: multimodal contrastive representation learning in augmented BioMedical knowledge graphs
Tien Dang, Viet Thanh Duy Nguyen, Minh Tuan Le, et al.
The Journal of Chemical Physics
|
July 2, 2018
Predicting molecular properties with covariant compositional networks
Truong Son Hy, Shubhendu Trivedi, Horace Pan, et al.
Biology Methods & Protocols
|
June 9, 2025
DrugPipe: Generative artificial intelligence-assisted virtual screening pipeline for generalizable and efficient drug repurposing
Phuc Pham, Viet Thanh Duy Nguyen, Kyu Hong Cho, et al.
Scientific Reports
|
October 30, 2025
FFTMed: leveraging fast-fourier transform for a lightweight and adversarial-resilient medical image segmentation framework
Viet Tien Pham, Minh Hieu Ha, Bao V Q Bui, et al.
Page
of 2
Search research articles
Search
Showing results (1-10 of 11) with videos related to
Sort By:
Page
of 2
The Journal of Chemical Physics
|
April 8, 2026
EquiHGNN: Scalable rotationally equivariant hypergraph neural networks
Tien Dang, Truong-Son Hy
Biology Methods & Protocols
|
July 10, 2024
Multimodal pretraining for unsupervised protein representation learning
Viet Thanh Duy Nguyen, Truong Son Hy
The Journal of Chemical Physics
|
July 19, 2023
Multiresolution graph transformers and wavelet positional encoding for learning long-range and hierarchical structures
Nhat Khang Ngo, Truong Son Hy, Risi Kondor
Communications Chemistry
|
February 15, 2026
Enabling multi-target drug discovery through latent evolutionary optimization and synthesis-aware prioritization (EVOSYNTH)
Viet Thanh Duy Nguyen, Phuc Pham, Truong-Son Hy
Structural Dynamics (Melville, N.Y.)
|
December 4, 2024
ProteinReDiff: Complex-based ligand-binding proteins redesign by equivariant diffusion-based generative models
Viet Thanh Duy Nguyen, Nhan D Nguyen, Truong Son Hy
Scientific Reports
|
July 16, 2024
MGLEP: Multimodal Graph Learning for Modeling Emerging Pandemics with Big Data
Khanh-Tung Tran, Truong Son Hy, Lili Jiang, et al.
Frontiers in Systems Biology
|
December 24, 2025
BioMedKG: multimodal contrastive representation learning in augmented BioMedical knowledge graphs
Tien Dang, Viet Thanh Duy Nguyen, Minh Tuan Le, et al.
The Journal of Chemical Physics
|
July 2, 2018
Predicting molecular properties with covariant compositional networks
Truong Son Hy, Shubhendu Trivedi, Horace Pan, et al.
Biology Methods & Protocols
|
June 9, 2025
DrugPipe: Generative artificial intelligence-assisted virtual screening pipeline for generalizable and efficient drug repurposing
Phuc Pham, Viet Thanh Duy Nguyen, Kyu Hong Cho, et al.
Scientific Reports
|
October 30, 2025
FFTMed: leveraging fast-fourier transform for a lightweight and adversarial-resilient medical image segmentation framework
Viet Tien Pham, Minh Hieu Ha, Bao V Q Bui, et al.
Page
of 2