| On data augmentation for GAN training NT Tran, VH Tran, NB Nguyen, TK Nguyen, NM Cheung IEEE Transactions on Image Processing 30, 1882-1897, 2021 | 465 | 2021 |
| Tail-GNN: Tail-Node Graph Neural Networks Z Liu, TK Nguyen, Y Fang Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 173 | 2021 |
| On Generalized Degree Fairness in Graph Neural Networks Z LIU, TK NGUYEN, Y FANG Proceedings of the 37th AAAI Conference on Artificial Intelligence …, 2023 | 65 | 2023 |
| Diffusion-based Negative Sampling on Graphs for Link Prediction TK Nguyen, Y Fang WWW '24: The ACM Web Conference 2024, Pages 948–958, 2024 | 23 | 2024 |
| Link Prediction on Latent Heterogeneous Graphs TK Nguyen, Z Liu, Y Fang WWW '23: Proceedings of the ACM Web Conference 2023, Pages 263–273, 2023 | 21 | 2023 |
| Multi-scale Generative Modeling for Fast Sampling X Xiao, S Li, L Huang, G Liu, TK Nguyen, Y Huang, D Chang, ... arXiv preprint arXiv:2411.09356, 2024 | 1 | 2024 |
| Graph‐Theory Approach to Element Miscibility and Alloy Design A Martin, K Nguyen, S Zaatini, M Lastovich, B Gwalani, P Bogdan, ... Advanced Science, e21018, 2025 | | 2025 |
| Graph theory-based bio-derived solid lubricant DU Jamadgni, P Gregory, XY Xiao, A Martin, D Kiptoo, AM Jones, ... Matter, 2025 | | 2025 |
| HGFM: Towards unifying Homogeneity and Heterogeneity on Text-Attributed Graphs TK Nguyen, H Ping, S Li, P Zhang, N Kanakaris, N Kotov, P Bogdan arXiv preprint arXiv:2506.08298, 2025 | | 2025 |