| Clinicalbert: Modeling clinical notes and predicting hospital readmission K Huang, J Altosaar, R Ranganath arXiv preprint arXiv:1904.05342, 2019 | 895 | 2019 |
| Scientific discovery in the age of artificial intelligence H Wang*, T Fu*, Y Du*, W Gao+, K Huang+, Z Liu+, P Chandak, S Liu, ... Nature 620 (7972), 47-60, 2023 | 422 | 2023 |
| DeepPurpose: a deep learning library for drug–target interaction prediction K Huang, T Fu, LM Glass, M Zitnik, C Xiao, J Sun Bioinformatics 36 (22-23), 5545-5547, 2020 | 331 | 2020 |
| MolTrans: molecular interaction transformer for drug–target interaction prediction K Huang, C Xiao, LM Glass, J Sun Bioinformatics 37 (6), 830-836, 2021 | 258 | 2021 |
| Therapeutics data commons: Machine learning datasets and tasks for drug discovery and development K Huang*, T Fu*, W Gao*, Y Zhao, Y Roohani, J Leskovec, CW Coley, ... Advances in neural information processing systems, 2021 | 246 | 2021 |
| Graph representation learning in biomedicine and healthcare MM Li, K Huang, M Zitnik Nature Biomedical Engineering 6 (12), 1353-1369, 2022 | 192* | 2022 |
| Graph meta learning via local subgraphs K Huang, M Zitnik Advances in neural information processing systems 33, 5862-5874, 2020 | 167 | 2020 |
| Building a knowledge graph to enable precision medicine P Chandak*, K Huang*, M Zitnik Scientific Data 10 (1), 67, 2023 | 146 | 2023 |
| SkipGNN: predicting molecular interactions with skip-graph networks K Huang, C Xiao, LM Glass, M Zitnik, J Sun Scientific reports 10 (1), 21092, 2020 | 128 | 2020 |
| Caster: Predicting drug interactions with chemical substructure representation K Huang, C Xiao, T Hoang, L Glass, J Sun Proceedings of the AAAI conference on artificial intelligence 34 (01), 702-709, 2020 | 117 | 2020 |
| SumGNN: multi-typed drug interaction prediction via efficient knowledge graph summarization Y Yu*, K Huang*, C Zhang, LM Glass, J Sun, C Xiao Bioinformatics 37 (18), 2988-2995, 2021 | 115 | 2021 |
| Artificial intelligence foundation for therapeutic science K Huang*, T Fu*, W Gao*, Y Zhao, Y Roohani, J Leskovec, CW Coley, ... Nature Chemical Biology 18 (10), 1033-1036, 2022 | 95 | 2022 |
| Predicting transcriptional outcomes of novel multigene perturbations with GEARS Y Roohani, K Huang, J Leskovec Nature Biotechnology 42 (6), 927-935, 2024 | 69* | 2024 |
| Clinical XLNet: Modeling sequential clinical notes and predicting prolonged mechanical ventilation K Huang, A Singh, S Chen, ET Moseley, CY Deng, N George, C Lindvall arXiv preprint arXiv:1912.11975, 2019 | 63 | 2019 |
| Graphein-a Python library for geometric deep learning and network analysis on protein structures and interaction networks AR Jamasb, R Viñas, EJ Ma, C Harris, K Huang, D Hall, P Lió, TL Blundell Advances in Neural Information Processing Systems, 2020.07. 15.204701, 2020 | 46* | 2020 |
| Hint: Hierarchical interaction network for clinical-trial-outcome predictions T Fu, K Huang, C Xiao, LM Glass, J Sun Patterns 3 (4), 2022 | 39 | 2022 |
| Uncertainty quantification over graph with conformalized graph neural networks K Huang, Y Jin, E Candes, J Leskovec Advances in Neural Information Processing Systems 36, 2024 | 37 | 2024 |
| Extending the Nested Model for User-Centric XAI: A Design Study on GNN-based Drug Repurposing Q Wang, K Huang, P Chandak, M Zitnik, N Gehlenborg IEEE Transactions on Visualization and Computer Graphics, 2022 | 31 | 2022 |
| Machine learning applications for therapeutic tasks with genomics data K Huang*, C Xiao*, LM Glass, CW Critchlow, G Gibson, J Sun Patterns 2 (10), 2021 | 31 | 2021 |
| Explainable substructure partition fingerprint for protein, drug, and more K Huang, C Xiao, L Glass, J Sun NeurIPS learning meaningful representation of life workshop, 2019 | 31 | 2019 |
