| Open graph benchmark: Datasets for machine learning on graphs W Hu, M Fey, M Zitnik, Y Dong, H Ren, B Liu, M Catasta, J Leskovec Advances in neural information processing systems 33, 22118-22133, 2020 | 3111 | 2020 |
| Orange: data mining toolbox in Python J Demšar, T Curk, A Erjavec, Č Gorup, T Hočevar, M Milutinovič, ... the Journal of machine Learning research 14 (1), 2349-2353, 2013 | 2808 | 2013 |
| Gnnexplainer: Generating explanations for graph neural networks Z Ying, D Bourgeois, J You, M Zitnik, J Leskovec Advances in neural information processing systems 32, 2019 | 2703* | 2019 |
| Strategies for pre-training graph neural networks W Hu, B Liu, J Gomes, M Zitnik, P Liang, V Pande, J Leskovec arXiv preprint arXiv:1905.12265, 2019 | 1690 | 2019 |
| Modeling polypharmacy side effects with graph convolutional networks M Zitnik, M Agrawal, J Leskovec Bioinformatics 34 (13), 457-466, 2018 | 1374 | 2018 |
| 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 | 1019* | 2023 |
| Predicting multicellular function through multi-layer tissue networks M Zitnik, J Leskovec Bioinformatics 33 (14), 190-198, 2017 | 683 | 2017 |
| Machine learning for integrating data in biology and medicine: Principles, practice, and opportunities M Zitnik, F Nguyen, B Wang, J Leskovec, A Goldenberg, MM Hoffman Information Fusion 50, 71-91, 2019 | 604 | 2019 |
| Interpretability of machine learning‐based prediction models in healthcare G Stiglic, P Kocbek, N Fijacko, M Zitnik, K Verbert, L Cilar Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 10 (5 …, 2020 | 511 | 2020 |
| Learning Structural Node Embeddings via Diffusion Wavelets C Donnat, M Zitnik, D Hallac, J Leskovec Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 492 | 2018 |
| Network medicine framework for identifying drug-repurposing opportunities for COVID-19 D Morselli Gysi, Í Do Valle, M Zitnik, A Ameli, X Gan, O Varol, ... Proceedings of the National Academy of Sciences 118 (19), e2025581118, 2021 | 489 | 2021 |
| Network Enhancement as a general method to denoise weighted biological networks B Wang*, A Pourshafeie*, M Zitnik*, (*first co-author), J Zhu, ... Nature Communications 9, 3108, 2018 | 455 | 2018 |
| DeepPurpose: a Deep Learning Library for Drug-Target Interaction Prediction and Applications to Repurposing and Screening K Huang, T Fu, L Glass, M Zitnik, C Xiao, J Sun arXiv preprint arXiv:2004.08919, 2020 | 421* | 2020 |
| Embedding Logical Queries on Knowledge Graphs WL Hamilton, P Bajaj, M Zitnik, D Jurafsky, J Leskovec arXiv preprint arXiv:1806.01445, 2018 | 372 | 2018 |
| Gnnguard: Defending graph neural networks against adversarial attacks X Zhang, M Zitnik Advances in neural information processing systems 33, 9263-9275, 2020 | 335 | 2020 |
| Cross-type biomedical named entity recognition with deep multi-task learning X Wang, Y Zhang, X Ren, Y Zhang, M Zitnik, J Shang, C Langlotz, J Han Bioinformatics 35 (10), 1745-1752, 2019 | 327 | 2019 |
| Predicting human olfactory perception from chemical features of odor molecules PM A. Keller, R.C. Gerkin, Y. Guan, A. Dhurandhar, G. Turu, B. Szalai, J.D ... Science 355 (6327), 820-826, 2017 | 323 | 2017 |
| 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, ... arXiv preprint arXiv:2102.09548, 2021 | 312 | 2021 |
| Self-supervised contrastive pre-training for time series via time-frequency consistency X Zhang, Z Zhao, T Tsiligkaridis, M Zitnik Advances in Neural Information Processing Systems 35, 3988-4003, 2022 | 291 | 2022 |
| Building a knowledge graph to enable precision medicine P Chandak, K Huang, M Zitnik Scientific Data 10 (1), 67, 2023 | 270 | 2023 |
