Amir Akbarnejad
About
Amir Akbarnejad has authored 3 papers that have received a total of 159 indexed citations.
This includes 3 papers in Artificial Intelligence, 2 papers in Statistical and Nonlinear Physics and 0 papers in Industrial relations. The topics of these papers are Adversarial Robustness in Machine Learning (3 papers), Advanced Graph Neural Networks (3 papers) and Complex Network Analysis Techniques (2 papers). Amir Akbarnejad is often cited by papers focused on Adversarial Robustness in Machine Learning (3 papers), Advanced Graph Neural Networks (3 papers) and Complex Network Analysis Techniques (2 papers) and collaborates with scholars based in Germany. Amir Akbarnejad's co-authors include Daniel Zügner, Stephan Günnemann and Oliver Borchert and has published in prestigious journals such as ACM Transactions on Knowledge Discovery from Data
In The Last Decade
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