VirPreNet: a weighted ensemble convolutional neural network for the virulence prediction of influenza A virus using all eight segments R Yin, Z Luo, P Zhuang, Z Lin, CK Kwoh Bioinformatics 37 (6), 737-743, 2021 | 14 | 2021 |
Ada-gnn: Adapting to local patterns for improving graph neural networks Z Luo, J Lian, H Huang, H Jin, X Xie Proceedings of the Fifteenth ACM International Conference on Web Search and …, 2022 | 10 | 2022 |
xgcn: An extreme graph convolutional network for large-scale social link prediction X Song, J Lian, H Huang, Z Luo, W Zhou, X Lin, M Wu, C Li, X Xie, H Jin Proceedings of the ACM Web Conference 2023, 349-359, 2023 | 9 | 2023 |
GraphInstruct: Empowering Large Language Models with Graph Understanding and Reasoning Capability Z Luo, X Song, H Huang, J Lian, C Zhang, J Jiang, X Xie arXiv preprint arXiv:2403.04483, 2024 | 6 | 2024 |
ViPal: a framework for virulence prediction of influenza viruses with prior viral knowledge using genomic sequences R Yin, Z Luo, P Zhuang, M Zeng, M Li, Z Lin, CK Kwoh Journal of biomedical informatics 142, 104388, 2023 | 5 | 2023 |
Exploring the lethality of human-adapted coronavirus through alignment-free machine learning approaches using genomic sequences R Yin, Z Luo, CK Kwoh Current Genomics 22 (8), 583, 2021 | 4* | 2021 |
Are Your Models Still Fair? Fairness Attacks on Graph Neural Networks via Node Injections Z Luo, H Huang, Y Zhou, J Zhang, N Chen arXiv preprint arXiv:2406.03052, 2024 | 1 | 2024 |
Cross-links matter for link prediction: rethinking the debiased GNN from a data perspective Z Luo, H Huang, J Lian, X Song, X Xie, H Jin Advances in Neural Information Processing Systems 36, 2024 | 1 | 2024 |