FraGAT: a fragment-oriented multi-scale graph attention model for molecular property prediction Z Zhang, J Guan, S Zhou Bioinformatics 37 (18), 2981-2987, 2021 | 47 | 2021 |
Users’ participation and social influence during information spreading on Twitter X Zhang, DD Han, R Yang, Z Zhang PloS one 12 (9), e0183290, 2017 | 44 | 2017 |
Effective drug–target interaction prediction with mutual interaction neural network F Li, Z Zhang, J Guan, S Zhou Bioinformatics 38 (14), 3582-3589, 2022 | 40 | 2022 |
Self-adaptive Louvain algorithm: Fast and stable community detection algorithm based on the principle of small probability event Z Zhang, P Pu, D Han, M Tang Physica A: Statistical Mechanics and Its Applications 506, 975-986, 2018 | 35 | 2018 |
TOP: a deep mixture representation learning method for boosting molecular toxicity prediction Y Peng, Z Zhang, Q Jiang, J Guan, S Zhou Methods 179, 55-64, 2020 | 26 | 2020 |
DynamicBind: Predicting ligand-specific protein-ligand complex structure with a deep equivariant generative model W Lu, J Zhang, W Huang, Z Zhang, X Jia, Z Wang, L Shi, C Li, ... Nature Communications 15 (1), 1071, 2024 | 22 | 2024 |
Top: Towards better toxicity prediction by deep molecular representation learning Y Peng, Z Zhang, Q Jiang, J Guan, S Zhou 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2019 | 9 | 2019 |
Self-supervised learning with chemistry-aware fragmentation for effective molecular property prediction A Xie, Z Zhang, J Guan, S Zhou Briefings in Bioinformatics 24 (5), bbad296, 2023 | 6 | 2023 |
Activity cliff prediction: Dataset and benchmark Z Zhang, B Zhao, A Xie, Y Bian, S Zhou arXiv preprint arXiv:2302.07541, 2023 | 6 | 2023 |
Can Pretrained Models Really Learn Better Molecular Representations for AI-Aided Drug Discovery? Z Zhang, Y Bian, A Xie, P Han, S Zhou Journal of Chemical Information and Modeling 64 (7), 2921-2930, 2023 | 5 | 2023 |
GANs for molecule generation in drug design and discovery Z Zhang, F Li, J Guan, Z Kong, L Shi, S Zhou Generative Adversarial Learning: Architectures and Applications, 233-273, 2022 | 4 | 2022 |
Molecular Property Prediction by Semantic-invariant Contrastive Learning Z Zhang, A Xie, J Guan, S Zhou Bioinformatics 39 (8), btad462, 2023 | 2 | 2023 |
GEP-DL4Mol: A Novel Molecular Deep-learning Model Optimization Framework for Boosting Molecular Properties Prediction* Y Peng, H Zhang, Z Zhang, Y Lin, S Zhou, S Qiao 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2023 | | 2023 |
ACNet: A Benchmark for Activity Cliff Prediction Z Zhang, B Zhao, A Xie, Y Bian, S Zhou | | |