Aleksandar Bojchevski

University of Cologne — Germany

Computer Science · Physical Sciences

20h-index3.1kcitations54works0.52yr avg
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Research Topics

Advanced Graph Neural Networks(30), Adversarial Robustness in Machine Learning(15), Complex Network Analysis Techniques(14), Neural Networks and Applications(5), Domain Adaptation and Few-Shot Learning(5)

Publications54 total

Optimal Conformal Prediction under Epistemic Uncertainty
arXiv (Cornell University)·2025Open Access
KurTail : Kurtosis-based LLM Quantization
arXiv (Cornell University)·2025Open Access
Evaluating the transferability of adversarial robustness to target domains
Knowledge and Information Systems·2025Open Access
KurTail : Kurtosis-based LLM Quantization
2025Open Access
Evaluating the Transferability of Adversarial Robustness to Target Domains
2024Open Access
SafePowerGraph: Safety-aware Evaluation of Graph Neural Networks for Transmission Power Grids
arXiv (Cornell University)·2024· 3 citedOpen Access
Conformal Inductive Graph Neural Networks
arXiv (Cornell University)·2024· 1 citedOpen Access
Robust Yet Efficient Conformal Prediction Sets
arXiv (Cornell University)·2024Open Access
SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors
arXiv (Cornell University)·2024· 1 citedOpen Access
SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors
2024
Hierarchical Randomized Smoothing
arXiv (Cornell University)·2023Open Access
Are GATs Out of Balance?
arXiv (Cornell University)·2023Open Access
Adversarial Weight Perturbation Improves Generalization in Graph Neural Networks
Proceedings of the AAAI Conference on Artificial Intelligence·2023· 9 citedOpen Access
Probing Graph Representations
arXiv (Cornell University)·2023· 3 citedOpen Access
Collective Robustness Certificates: Exploiting Interdependence in Graph Neural Networks
arXiv (Cornell University)·2023· 3 citedOpen Access
Collective Robustness Certificates: Exploiting Interdependence in Graph\n Neural Networks
arXiv (Cornell University)·2023Open Access
Are Defenses for Graph Neural Networks Robust?
arXiv (Cornell University)·2023· 10 citedOpen Access
Randomized Message-Interception Smoothing: Gray-box Certificates for Graph Neural Networks
arXiv (Cornell University)·2023· 4 citedOpen Access
Adversarial Weight Perturbation Improves Generalization in Graph Neural Networks
arXiv (Cornell University)·2022· 3 citedOpen Access
Localized Randomized Smoothing for Collective Robustness Certification
arXiv (Cornell University)·2022Open Access
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Frequent Co-authors

Stephan Günnemann(35), Johannes Klicpera(7), Oleksandr Shchur(6), Jan Schuchardt(6), Daniel Zügner(5), Mohammad Sadegh Akhondzadeh(4), Simon Geisler(3), Johannes Gasteiger(2), Juan Miguel Cejuela(2), Ashish Baghudana(2), Carsten Uhlig(2), Burkhard Rost(2), Yihan Wu(2), Heng Huang(2), Simon Geisler(2), Yan Scholten(2), Vijay Lingam(2), Soroush H. Zargarbashi(2), Evangelos Eleftheriou(2), Martino Dazzi(2)