| A comprehensive survey on graph summarization with graph neural networks N Shabani, J Wu, A Beheshti, QZ Sheng, J Foo, V Haghighi, A Hanif, ... IEEE Transactions on Artificial Intelligence, 2024 | 4* | 2024 |
| icreate: Mining creative thinking patterns from contextualized educational data N Shabani, A Beheshti, H Farhood, M Bower, M Garrett, HA Rokny International Conference on Artificial Intelligence in Education, 352-356, 2022 | 4 | 2022 |
| A rule-based approach for mining creative thinking patterns from big educational data N Shabani, A Beheshti, H Farhood, M Bower, M Garrett, H Alinejad-Rokny AppliedMath 3 (1), 243-267, 2023 | 3 | 2023 |
| A Comprehensive Survey of Explainable Artificial Intelligence (XAI) Methods: Exploring Transparency and Interpretability A Hanif, A Beheshti, B Benatallah, X Zhang, Habiba, EJ Foo, N Shabani, ... International Conference on Web Information Systems Engineering, 915-925, 2023 | 2 | 2023 |
| Towards Mining Creative Thinking Patterns from Educational Data N Shabani arXiv preprint arXiv:2210.06118, 2022 | 1 | 2022 |
| GraphSUM: Scalable Graph Summarization for Efficient Question Answering N Shabani, A Beheshti, J Wu, MK Najafabadi, J Foo, A Jolfaei | | 2024 |
