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Mohammad Sadegh Akhondzadeh
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2020 – today
- 2024
- [c5]Vijay Lingam, Mohammad Sadegh Akhondzadeh, Aleksandar Bojchevski:
Rethinking Label Poisoning for GNNs: Pitfalls and Attacks. ICLR 2024 - [c4]Soroush H. Zargarbashi, Mohammad Sadegh Akhondzadeh, Aleksandar Bojchevski:
Robust Yet Efficient Conformal Prediction Sets. ICML 2024 - [i4]Soroush H. Zargarbashi, Mohammad Sadegh Akhondzadeh, Aleksandar Bojchevski:
Robust Yet Efficient Conformal Prediction Sets. CoRR abs/2407.09165 (2024) - 2023
- [c3]Mohammad Sadegh Akhondzadeh, Vijay Lingam, Aleksandar Bojchevski:
Probing Graph Representations. AISTATS 2023: 11630-11649 - [i3]Mohammad Sadegh Akhondzadeh, Vijay Lingam, Aleksandar Bojchevski:
Probing Graph Representations. CoRR abs/2303.03951 (2023) - 2021
- [c2]Milad Aghajohari, Mohammad Sadegh Akhondzadeh, Saleh Ashkboos, Kamran Chitsaz:
Degree-based Feature Is All You Need: Science4Cast Report. IEEE BigData 2021: 5791-5794 - [c1]Amir Hossein Kargaran
, Mohammad Sadegh Akhondzadeh, Mohammad Reza Heidarpour, Mohammad Hossein Manshaei, Kavé Salamatian
Wide-AdGraph: Detecting Ad Trackers with a Wide Dependency Chain Graph. WebSci 2021: 253-261 - 2020
- [i2]Amir Hossein Kargaran
On Detecting Hidden Third-Party Web Trackers with a Wide Dependency Chain Graph: A Representation Learning Approach. CoRR abs/2004.14826 (2020) - [i1]Mohammad Amin Samadi, Mohammad Sadegh Akhondzadeh, Sayed Jalal Zahabi, Mohammad Hossein Manshaei, Zeinab Maleki, Payman Adibi:
Evaluating Sparse Interpretable Word Embeddings for Biomedical Domain. CoRR abs/2005.05114 (2020)
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last updated on 2024-09-04 00:31 CEST by the dblp team
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