Multi-modal representation learning for molecular property prediction: sequence, graph, geometry Z Wang, T Jiang, J Wang, Q Xuan arXiv preprint arXiv:2401.03369, 2024 | 8 | 2024 |
Mix-Key: graph mixup with key structures for molecular property prediction T Jiang, Z Wang, W Yu, J Wang, S Yu, X Bao, B Wei, Q Xuan Briefings in Bioinformatics 25 (3), bbae165, 2024 | 3 | 2024 |
Null model-based data augmentation for graph classification Z Wang, J Wang, Y Shan, S Yu, X Xu, Q Xuan, G Chen IEEE Transactions on Network Science and Engineering, 2023 | 3 | 2023 |
Reassessing Layer Pruning in LLMs: New Insights and Methods Y Lu, H Cheng, Y Fang, Z Wang, J Wei, D Xu, Q Xuan, X Yang, Z Zhu arXiv preprint arXiv:2411.15558, 2024 | 1 | 2024 |
Knowledge-enhanced Relation Graph and Task Sampling for Few-shot Molecular Property Prediction Z Wang, T Jiang, Y Lu, X Bao, S Yu, B Wei, Q Xuan arXiv preprint arXiv:2405.15544, 2024 | 1 | 2024 |
Subgraph networks based contrastive learning J Wang, J Shao, Z Wang, S Yu, Q Xuan, X Yang arXiv preprint arXiv:2306.03506, 2023 | 1 | 2023 |
Label-Flipping Attacks in GNN-Based Federated Learning S Yu, J Shen, S Xu, J Wang, Z Wang, Q Xuan IEEE Transactions on Network Science and Engineering, 2025 | | 2025 |
Efficient Parallel Genetic Algorithm for Perturbed Substructure Optimization in Complex Network S Yu, M Zhou, J Zhou, M Zhao, Y Song, Y Lu, Z Wang, Q Xuan arXiv preprint arXiv:2412.20980, 2024 | | 2024 |
Scaffold Data Augmentation for Molecular Property Prediction T Jiang, Z Wang, J Wang, J Shao, Q Xuan China National Conference on Big Data and Social Computing, 389-402, 2023 | | 2023 |