| Diffusion models for time-series applications: a survey L Lin, Z Li, R Li, X Li, J Gao Frontiers of Information Technology & Electronic Engineering 25 (1), 19-41, 2024 | 83 | 2024 |
| From continuous dynamics to graph neural networks: Neural diffusion and beyond A Han, D Shi, L Lin, J Gao arXiv preprint arXiv:2310.10121, 2023 | 21 | 2023 |
| A simple yet effective framelet-based graph neural network for directed graphs C Zou, A Han, L Lin, M Li, J Gao IEEE Transactions on Artificial Intelligence, 2023 | 19* | 2023 |
| A magnetic framelet-based convolutional neural network for directed graphs L Lin, J Gao ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 15 | 2023 |
| Exposition on over-squashing problem on GNNs: Current methods, benchmarks and challenges D Shi, A Han, L Lin, Y Guo, J Gao arXiv preprint arXiv:2311.07073, 2023 | 11 | 2023 |
| Design your own universe: A physics-informed agnostic method for enhancing graph neural networks D Shi, A Han, L Lin, Y Guo, Z Wang, J Gao International Journal of Machine Learning and Cybernetics, 1-16, 2024 | 8 | 2024 |
| Specstg: A fast spectral diffusion framework for probabilistic spatio-temporal traffic forecasting L Lin, D Shi, A Han, J Gao https://arxiv.org/abs/2401.08119, 2024 | 7 | 2024 |
| Bregman graph neural network J Zhai, L Lin, D Shi, J Gao ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 4 | 2024 |
| Unleash graph neural networks from heavy tuning L Lin, D Shi, A Han, Z Wang, J Gao arXiv preprint arXiv:2405.12521, 2024 | 1 | 2024 |
| Graph Pseudotime Analysis and Neural Stochastic Differential Equations for Analyzing Retinal Degeneration Dynamics and Beyond D Shi, K Yan, L Lin, Y Zeng, T Zhang, D Matsypura, MC Gillies, L Zhu, ... arXiv preprint arXiv:2502.06126, 2025 | | 2025 |
| When Graph Neural Networks Meet Dynamic Mode Decomposition D Shi, L Lin, A Han, Z Wang, Y Guo, J Gao arXiv preprint arXiv:2410.05593, 2024 | | 2024 |
| Diffusing to the Top: Boost Graph Neural Networks with Minimal Hyperparameter Tuning L Lin, D Shi, A Han, Z Wang, J Gao arXiv preprint arXiv:2410.05697, 2024 | | 2024 |
Professor Junbin GaoDiscipline of Business Analytics in Business School, The University of SydneyEmail được xác minh tại sydney.edu.au