| Adaptive diffusion in graph neural networks J Zhao, Y Dong, M Ding, E Kharlamov, J Tang Advances in neural information processing systems 34, 23321-23333, 2021 | 57 | 2021 |
| Plug-and-play: An efficient post-training pruning method for large language models Y Zhang, H Bai, H Lin, J Zhao, L Hou, CV Cannistraci The Twelfth International Conference on Learning Representations, 2024 | 7* | 2024 |
| Ultra-sparse network advantage in deep learning via Cannistraci-Hebb brain-inspired training with hyperbolic meta-deep community-layered epitopology Y Zhang, J Zhao, W Wu, A Muscoloni, CV Cannistraci Preprints, 2023 | 5* | 2023 |
| Brain-Inspired Sparse Training in MLP and Transformers with Network Science Modeling via Cannistraci-Hebb Soft Rule Y Zhang, J Zhao, Z Liao, W Wu, U Michieli, CV Cannistraci Preprints, 2024 | | 2024 |
| Sparse Spectral Training and Inference on Euclidean and Hyperbolic Neural Networks J Zhao, Y Zhang, X Li, H Liu, CV Cannistraci arXiv preprint arXiv:2405.15481, 2024 | | 2024 |
