Marinka Zitnik
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
22
Venues
10
Active years
2014–2026
Best venue rank
A*
Where they publish
Papers
22 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Autonomous Knowledge Graph Exploration with Adaptive Breadth-Depth Retrieval. | Joaqun Polonuer, Lucas Vittor, Iaki Arango, Ayush Noori, David A. Clifton, Luciano Del Corro, Marinka Zitnik |
| 2025 | ICLR | KGARevion: An AI Agent for Knowledge-Intensive Biomedical QA. | Xiaorui Su, Yibo Wang, Shanghua Gao, Xiaolong Liu, Valentina Giunchiglia, Djork-Arn Clevert, Marinka Zitnik |
| 2025 | ICLR | Composable Interventions for Language Models. | Arinbjrn Kolbeinsson, Kyle O'Brien, Tianjin Huang, Shanghua Gao, Shiwei Liu, Jonathan Richard Schwarz, Anurag Jayant Vaidya, Faisal Mahmood, Marinka Zitnik, Tianlong Chen, Thomas Hartvigsen |
| 2025 | ICML | Multimodal Medical Code Tokenizer. | Xiaorui Su, Shvat Messica, Yepeng Huang, Ruth Johnson, Lukas Fesser, Shanghua Gao, Faryad Sahneh, Marinka Zitnik |
| 2025 | ICML | PyTDC: A multimodal machine learning training, evaluation, and inference platform for biomedical foundation models. | Alejandro Velez-Arce, Marinka Zitnik |
| 2024 | ACL | MoExtend: Tuning New Experts for Modality and Task Extension. | Shanshan Zhong, Shanghua Gao, Zhongzhan Huang, Wushao Wen, Marinka Zitnik, Pan Zhou |
| 2024 | CVPR | Let's Think Outside the Box: Exploring Leap-of-Thought in Large Language Models with Creative Humor Generation. | Shanshan Zhong, Zhongzhan Huang, Shanghua Gao, Wushao Wen, Liang Lin, Marinka Zitnik, Pan Zhou |
| 2024 | ICML | Position: TrustLLM: Trustworthiness in Large Language Models. | Yue Huang, Lichao Sun, Haoran Wang, Siyuan Wu, Qihui Zhang, Yuan Li, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Hanchi Sun, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bertie Vidgen, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, Joaquin Vanschoren, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yong Chen, Yue Zhao |
| 2024 | ICML | Graph Adversarial Diffusion Convolution. | Songtao Liu, Jinghui Chen, Tianfan Fu, Lu Lin, Marinka Zitnik, Dinghao Wu |
| 2023 | ICLR | GNNDelete: A General Strategy for Unlearning in Graph Neural Networks. | Jiali Cheng, George Dasoulas, Huan He, Chirag Agarwal, Marinka Zitnik |
| 2023 | ICML | Domain Adaptation for Time Series Under Feature and Label Shifts. | Huan He, Owen Queen, Teddy Koker, Consuelo Cuevas, Theodoros Tsiligkaridis, Marinka Zitnik |
| 2023 | KDD | The 3rd Workshop on Graph Learning Benchmarks (GLB 2023). | Jiaqi Ma, Jiong Zhu, Yuxiao Dong, Danai Koutra, Jingrui He, Qiaozhu Mei, Anton Tsitsulin, Xingjian Zhang, Marinka Zitnik |
| 2022 | AISTATS | Probing GNN Explainers: A Rigorous Theoretical and Empirical Analysis of GNN Explanation Methods. | Chirag Agarwal, Marinka Zitnik, Himabindu Lakkaraju |
| 2022 | ICLR | Graph-Guided Network for Irregularly Sampled Multivariate Time Series. | Xiang Zhang, Marko Zeman, Theodoros Tsiligkaridis, Marinka Zitnik |
| 2021 | AMIA | Graph Based Machine Learning for Healthcare: State of the Art, Challenges, and Opportunities. | Yuan Luo, Fei Wang, Marinka Zitnik, Shuiwang Ji |
| 2021 | UAI | Towards a unified framework for fair and stable graph representation learning. | Chirag Agarwal, Himabindu Lakkaraju, Marinka Zitnik |
| 2020 | ICLR | Strategies for Pre-training Graph Neural Networks. | Weihua Hu, Bowen Liu, Joseph Gomes, Marinka Zitnik, Percy Liang, Vijay S. Pande, Jure Leskovec |
| 2018 | KDD | Learning Structural Node Embeddings via Diffusion Wavelets. | Claire Donnat, Marinka Zitnik, David Hallac, Jure Leskovec |
| 2018 | PSB | Large-scale analysis of disease pathways in the human interactome. | Monica Agrawal, Marinka Zitnik, Jure Leskovec |
| 2016 | PSB | Collective Pairwise Classification for Multi-Way Analysis of Disease and Drug Data. | Marinka Zitnik, Blaz Zupan |
| 2014 | PSB | Matrix Factorization-Based Data Fusion for Gene Function Prediction in Baker's Yeast and Slime Mold. | Marinka Zitnik, Blaz Zupan |
| 2014 | RECOMB | Imputation of Quantitative Genetic Interactions in Epistatic MAPs by Interaction Propagation Matrix Completion. | Marinka Zitnik, Blaz Zupan |