| Interpretable bilinear attention network with domain adaptation improves drug–target prediction P Bai, F Miljković, B John, H Lu Nature Machine Intelligence 5 (2), 126-136, 2023 | 150 | 2023 |
| Joint interaction with context operation for collaborative filtering P Bai, Y Ge, F Liu, H Lu Pattern Recognition 88, 729-738, 2019 | 19 | 2019 |
| Hierarchical clustering split for low-bias evaluation of drug-target interaction prediction P Bai, F Miljković, Y Ge, N Greene, B John, H Lu 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2021 | 17 | 2021 |
| GripNet: Graph information propagation on supergraph for heterogeneous graphs H Xu, S Sang, P Bai, R Li, L Yang, H Lu Pattern Recognition 133, 108973, 2023 | 14 | 2023 |
| Interpretable bilinear attention network with domain adaptation improves drug–target prediction. Nat. Mach. Intell. 5, 126–136 P Bai, F Miljković, B John, H Lu | 7 | 2023 |
| PyKale: Knowledge-aware machine learning from multiple sources in Python H Lu, X Liu, S Zhou, R Turner, P Bai, RE Koot, M Chasmai, L Schobs, ... Proceedings of the 31st ACM International Conference on Information …, 2022 | 7 | 2022 |
| Addressing Topic Granularity and Hallucination in Large Language Models for Topic Modelling Y Mu, P Bai, K Bontcheva, X Song arXiv preprint arXiv:2405.00611, 2024 | 2 | 2024 |
| Geometry-aware line graph transformer pre-training for molecular property prediction P Bai, X Liu, H Lu arXiv preprint arXiv:2309.00483, 2023 | 2 | 2023 |
| Mask prior-guided denoising diffusion improves inverse protein folding P Bai, F Miljković, X Liu, L De Maria, R Croasdale-Wood, O Rackham, ... arXiv preprint arXiv:2412.07815, 2024 | | 2024 |