🧑‍🔬 Marinka Žitnik — all works

26 works · ← Marinka Žitnik

1. Scientific discovery in the age of artificial intelligence ↗Nature 620, 47-60 (2023) · no summary yetHanchen Wang et al.2023 · 1,860 citations
2. Modeling polypharmacy side effects with graph convolutional networks ↗Bioinformatics · no summary yetMarinka Žitnik, Monica Agrawal, Jure Leskovec2018 · 1,517 citations
3. Open Graph Benchmark: Datasets for Machine Learning on Graphs ↗arXiv:2005.00687 · no summary yetWeihua Hu et al.2020 · 712 citations
4. GNNExplainer: Generating Explanations for Graph Neural Networks ↗arXiv (Cornell University) · no summary yetRex Ying et al.2019 · 685 citations
5. Machine learning for integrating data in biology and medicine: Principles, practice, and opportunities ↗Information Fusion · no summary yetMarinka Žitnik et al.2018 · 663 citations
6. Building a knowledge graph to enable precision medicineScientific DataPayal Chandak, Kexin Huang, Marinka Žitnik2023 · 555 citations
7. Predicting multicellular function through multi-layer tissue networks ↗Bioinformatics · no summary yetMarinka Žitnik, Jure Leskovec2017 · 542 citations
8. Learning Structural Node Embeddings via Diffusion Wavelets ↗ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD) · no summary yetClaire Donnat et al.2018 · 366 citations
9. Empowering Biomedical Discovery with AI Agents ↗arXiv:2404.02831 · no summary yetShanghua Gao et al.2024 · 333 citations
10. A foundation model for clinician-centered drug repurposing ↗Nature Medicine · no summary yetKexin Huang et al.2024 · 249 citations
11. Strategies for Pre-training Graph Neural Networks ↗arXiv (Cornell University) · no summary yetWeihua Hu et al.2019 · 228 citations
12. Self-Supervised Contrastive Pre-Training for Time Series Via Time-Frequency Consistency ↗neural information processing systems · no summary yetXiang Zhang et al.2022 · 210 citations
13. Artificial intelligence foundation for therapeutic science ↗Nature Chemical Biology · no summary yetKexin Huang et al.2022 · 201 citations
14. Identification of disease treatment mechanisms through the multiscale interactome ↗Nature Communications · no summary yetCamilo Ruiz, Marinka Žitnik, Jure Leskovec2021 · 168 citations
15. To Embed or Not: Network Embedding as a Paradigm in Computational Biology ↗Frontiers in Genetics · no summary yetWalter Nelson et al.2019 · 167 citations
16. Network enhancement as a general method to denoise weighted biological networks ↗Nature Communications · no summary yetBo Wang et al.2018 · 157 citations
17. Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development ↗arXiv (Cornell University) · no summary yetKexin Huang et al.2021 · 156 citations
18. Evolution of resilience in protein interactomes across the tree of life ↗Proceedings of the National Academy of Sciences · no summary yetMarinka Žitnik et al.2019 · 133 citations
19. Embedding Logical Queries on Knowledge Graphs ↗arXiv:1806.01445 · no summary yetWilliam L. Hamilton et al.2018 · 108 citations
20. Large-scale analysis of disease pathways in the human interactome ↗Pacific Symposium on Biocomputing (PSB) · no summary yetMonica Agrawal, Marinka Žitnik, Jure Leskovec2017 · 106 citations
21. Leveraging the Cell Ontology to classify unseen cell types ↗Nature Communications · no summary yetSheng Wang et al.2021 · 65 citations
22. Prioritizing network communities ↗Nature Communications · no summary yetMarinka Žitnik, Rok Sosič, Jure Leskovec2018 · 57 citations
23. TxAgent: An AI Agent for Therapeutic Reasoning Across a Universe of Tools ↗arXiv:2503.10970 · no summary yetShanghua Gao et al.2025 · 17 citations
24. Identification of disease treatment mechanisms through the multiscale interactome ↗RePEc: Research Papers in Economics · no summary yetCamilo Ruiz, Marinka Žitnik, Jure Leskovec7 citations
25. Mutual interactors as a principle for phenotype discovery in molecular interaction networks ↗Pacific Symposium on Biocomputing (PSB) · no summary yetSabri Eyuboglu, Marinka Žitnik, Jure Leskovec2022 · 2 citations
26. Autonomous Knowledge Graph Exploration with Adaptive Breadth-Depth RetrievalAnnual Meeting of the Association for Computational Linguistics (ACL)Joaquin Polonuer, Lucas Vittor, Iñaki Arango, et al.2026

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