Ataollah Kamal

According to our database1, Ataollah Kamal authored at least 10 papers between 2022 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2025
Leveraging internal representations of GNNs with Shapley values.
Data Min. Knowl. Discov., November, 2025

Game theoretic explainers for graph neural networks. (Méthodes d'explication basées sur la théorie des jeux pour les réseaux de neurones sur graphes).
PhD thesis, 2025

Explainability of Molecular Graph Neural Network.
Proceedings of the 12th IEEE International Conference on Data Science and Advanced Analytics, 2025

2024
On GNN explainability with activation rules.
Data Min. Knowl. Discov., September, 2024

On GNN explanability with activation rules.
CoRR, 2024

2023
Game Theoretic Explanations for Graph Neural Networks.
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2023

2022
In pursuit of the hidden features of GNN's internal representations.
Data Knowl. Eng., 2022

Improving the Quality of Rule-Based GNN Explanations.
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022

What Does My GNN Really Capture? On Exploring Internal GNN Representations.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Qu'est-ce que mon GNN capture vraiment ? Exploration des représentations internes d'un GNN.
Proceedings of the Extraction et Gestion des Connaissances, 2022


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