| A general deep learning framework for network reconstruction and dynamics learning Z Zhang, Y Zhao, J Liu, S Wang, R Tao, R Xin, J Zhang Applied Network Science 4, 1-17, 2019 | 58 | 2019 |
| Scaling laws and a general theory for the growth of companies J Zhang, CP Kempes, MJ Hamilton, T Ruyi, GB West arXiv preprint, 2021 | 7 | 2021 |
| Graph Auto-Encoders for Network Completion Z Zhang, R Tao, Y Tao, J Zhang arXiv preprint arXiv:2204.11852, 2022 | 2 | 2022 |
| Neural gene network constructor: A neural based model for reconstructing gene regulatory network Z Zhang, L Wang, S Wang, R Tao, J Xiao, M Mou, J Cai, J Zhang bioRxiv, 842369, 2019 | 1 | 2019 |
| Dynamical Reversibility and A New Theory of Causal Emergence J Zhang, R Tao, B Yuan arXiv preprint arXiv:2402.15054, 2024 | | 2024 |
| Graph Completion Through Local Pattern Generalization Z Zhang, R Tao, Y Tao, M Qi, J Zhang International Conference on Complex Networks and Their Applications, 260-271, 2023 | | 2023 |
| Neural Network Pruning by Gradient Descent Z Zhang, R Tao, J Zhang arXiv preprint arXiv:2311.12526, 2023 | | 2023 |
| Data driven modeling of self-similar dynamics R Tao, N Tao, Y You, J Zhang arXiv preprint arXiv:2310.08282, 2023 | | 2023 |
| Completing Networks by Learning Local Connection Patterns Z Zhang, R Tao, Y Tao, M Qi, J Zhang arXiv preprint arXiv:2204.11852, 2022 | | 2022 |
| Graph Auto-Encoders for Network Completion Zhang Zhang, Ruyi Tao, Yongzai Tao & Jiang Zhang Abstract. Completing a graph means inferring the missing nodes and edges from a … Z Zhang, R Tao, Y Tao arXiv preprint arXiv:2204.11852, 2022 | | 2022 |
