Improving Graph Convolutional Networks with Transformer Layer in social-based items recommendation. - Thi Linh Hoang; Tuan Dung Pham; Viet Cuong Ta (KSE, 2021)

Effect of Cluster-based Sampling on the Over-smoothing Issue in Graph Neural Network. - Thi Linh Hoang; Viet Cuong Ta (KSE, 2022)

Dynamic-GTN: Learning an Node Efficient Embedding in Dynamic Graph with Transformer. - Thi Linh Hoang; Viet Cuong Ta (PRICAI (2), 2022)

Structural and Compact Latent Representation Learning on Sparse Reward Environments. - Bang Giang Le; Thi Linh Hoang; Hai-Dang Kieu; Viet-Cuong Ta (ACIIDS (2), 2023)

Reconstructing Missing Joints in 3D Human Motion with Temporal-Structural Awareness Graph Neural Network. - Minh Duc Nguyen; Thi Linh Hoang; Viet Cuong Ta (KSE, 2023)

Preserving Spatial-Temporal Relationship with Adaptive Node Sampling in Hierarchical Dynamic Graph Transformers. - Thi Linh Hoang; Tuan Dung Pham; Son T. Mai; Viet Cuong Ta (ACML, 2024)

Balancing structure and position information in Graph Transformer network with a learnable node embedding. - Thi Linh Hoang; Viet Cuong Ta (Expert Syst. Appl., 2024)