Research output per year
Research output per year
Personal profile
Keywords
- Computer Science
- Deep Learning
- Interpretability Methods
- Graph Neural Networks
- Data Management
- Data Analytics
- XAI
- Generative Models
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Research output
- 2 Article in proceeding
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A Demonstration of Interpretability Methods for Graph Neural Networks
B. Mobaraki, E. & Khan, A., 18 Jun 2023, Proceedings of the 6th ACM SIGMOD Joint International Workshop on Graph Data Management Experiences and Systems: GRADES-NDA 2023. Hartig, O. & Yoshida, Y. (eds.). Association for Computing Machinery, 9Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review
10 Downloads (Pure) -
Interpretability Methods for Graph Neural Networks (Tutorial)
B. Mobaraki, E., 10 Oct 2023, Interpretability Methods for Graph Neural Networks. IEEE International Conference on Data Science and Advanced Analytics (DSAA)Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review