Maryam Shahabikargar

According to our database, Maryam Shahabikargar authored at least 5 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A Comprehensive Survey on Graph Summarization With Graph Neural Networks.

Nasrin Shabani, Jia Wu, Amin Beheshti, Quan Z. Sheng, Jin Foo, Venus Haghighi, Ambreen Hanif, Maryam Shahabikargar

IEEE Trans. Artif. Intell., August, 2024

2023

A Survey on Graph Neural Networks for Graph Summarization.

Nasrin Shabani, Jia Wu, Amin Beheshti, Jin Foo, Ambreen Hanif, Maryam Shahabikargar

CoRR, 2023

A Comprehensive Survey of Explainable Artificial Intelligence (XAI) Methods: Exploring Transparency and Interpretability.

Ambreen Hanif, Amin Beheshti, Boualem Benatallah, Xuyun Zhang, Habiba, EuJin Foo, Nasrin Shabani, Maryam Shahabikargar

Proceedings of the Web Information Systems Engineering - WISE 2023, 2023

2022

Towards Knowledge-based Mining of Mental Disorder Patterns from Textual Data.

Maryam Shahabikargar

CoRR, 2022

Domain Knowledge Enhanced Text Mining for Identifying Mental Disorder Patterns.

Maryam Shahabikargar, Amin Beheshti, Amin Khatami, Ricky Nguyen, Xuyun Zhang, Hamid Alinejad-Rokny

Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022