134 citations · 170 across the 35 of their papers we have counts for
12 papers · 1 filter
Symmetry-preserving graph attention network to solve routing problems at multiple resolutions
Cong Dao Tran, Thong Bach, Truong Son Hy
Travelling Salesperson Problems (TSPs) and Vehicle Routing Problems (VRPs) have achieved reasonable improvement in accuracy and computation time with the adaptation of Machine Lear…
Multimodal Graph Learning for Modeling Emerging Pandemics with Big Data
Khanh-Tung Tran, Truong Son Hy, Lili Jiang +1
Accurate forecasting and analysis of emerging pandemics play a crucial role in effective public health management and decision-making. Traditional approaches primarily rely on epid…
Graph Attention-based Deep Reinforcement Learning for solving the Chinese Postman Problem with Load-dependent costs
Truong Son Hy, Cong Dao Tran
Recently, Deep reinforcement learning (DRL) models have shown promising results in solving routing problems. However, most DRL solvers are commonly proposed to solve node routing p…
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…
Sparsity exploitation via discovering graphical models in multi-variate time-series forecasting
Ngoc-Dung Do, Truong Son Hy, Duy Khuong Nguyen
Graph neural networks (GNNs) have been widely applied in multi-variate time-series forecasting (MTSF) tasks because of their capability in capturing the correlations among differen…
Neural Multigrid Memory For Computational Fluid Dynamics
Duc Minh Nguyen, Minh Chau Vu, Tuan Anh Nguyen +3
Turbulent flow simulation plays a crucial role in various applications, including aircraft and ship design, industrial process optimization, and weather prediction. In this paper,…
Predicting COVID-19 pandemic by spatio-temporal graph neural networks: A New Zealand's study
Viet Bach Nguyen, Truong Son Hy, Long Tran-Thanh +1
Modeling and simulations of pandemic dynamics play an essential role in understanding and addressing the spreading of highly infectious diseases such as COVID-19. In this work, we…
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…
ViDeBERTa: A powerful pre-trained language model for Vietnamese
Cong Dao Tran, Nhut Huy Pham, Anh Nguyen +2
This paper presents ViDeBERTa, a new pre-trained monolingual language model for Vietnamese, with three versions - ViDeBERTa_xsmall, ViDeBERTa_base, and ViDeBERTa_large, which are p…
Multiresolution Graph Transformers and Wavelet Positional Encoding for Learning Hierarchical Structures
Nhat Khang Ngo, Truong Son Hy, Risi Kondor
Contemporary graph learning algorithms are not well-defined for large molecules since they do not consider the hierarchical interactions among the atoms, which are essential to det…
Fast Temporal Wavelet Graph Neural Networks
Duc Thien Nguyen, Manh Duc Tuan Nguyen, Truong Son Hy +1
Spatio-temporal signals forecasting plays an important role in numerous domains, especially in neuroscience and transportation. The task is challenging due to the highly intricate…
On the Connection Between MPNN and Graph Transformer
Chen Cai, Truong Son Hy, Rose Yu +1
Graph Transformer (GT) recently has emerged as a new paradigm of graph learning algorithms, outperforming the previously popular Message Passing Neural Network (MPNN) on multiple b…