Aleksandar Bojchevski
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
23
Venues
8
Active years
2017–2025
Best venue rank
A*
Where they publish
Papers
23 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | EMNLP | KurTail : Kurtosis-based LLM Quantization. | Mohammad Sadegh Akhondzadeh, Aleksandar Bojchevski, Evangelos Eleftheriou, Martino Dazzi |
| 2025 | ICLR | Robust Conformal Prediction with a Single Binary Certificate. | Soroush H. Zargarbashi, Aleksandar Bojchevski |
| 2024 | ICLR | Rethinking Label Poisoning for GNNs: Pitfalls and Attacks. | Vijay Lingam, Mohammad Sadegh Akhondzadeh, Aleksandar Bojchevski |
| 2024 | ICLR | Conformal Inductive Graph Neural Networks. | Soroush H. Zargarbashi, Aleksandar Bojchevski |
| 2024 | ICML | Robust Yet Efficient Conformal Prediction Sets. | Soroush H. Zargarbashi, Mohammad Sadegh Akhondzadeh, Aleksandar Bojchevski |
| 2023 | AAAI | Adversarial Weight Perturbation Improves Generalization in Graph Neural Networks. | Yihan Wu, Aleksandar Bojchevski, Heng Huang |
| 2023 | AISTATS | Probing Graph Representations. | Mohammad Sadegh Akhondzadeh, Vijay Lingam, Aleksandar Bojchevski |
| 2023 | ICLR | Unveiling the sampling density in non-uniform geometric graphs. | Raffaele Paolino, Aleksandar Bojchevski, Stephan Gnnemann, Gitta Kutyniok, Ron Levie |
| 2023 | ICLR | Localized Randomized Smoothing for Collective Robustness Certification. | Jan Schuchardt, Tom Wollschlger, Aleksandar Bojchevski, Stephan Gnnemann |
| 2023 | ICML | Conformal Prediction Sets for Graph Neural Networks. | Soroush H. Zargarbashi, Simone Antonelli, Aleksandar Bojchevski |
| 2022 | ICLR | Generalization of Neural Combinatorial Solvers Through the Lens of Adversarial Robustness. | Simon Geisler, Johanna Sommer, Jan Schuchardt, Aleksandar Bojchevski, Stephan Gnnemann |
| 2021 | AISTATS | Completing the Picture: Randomized Smoothing Suffers from the Curse of Dimensionality for a Large Family of Distributions. | Yihan Wu, Aleksandar Bojchevski, Aleksei Kuvshinov, Stephan Gnnemann |
| 2021 | ICLR | Collective Robustness Certificates: Exploiting Interdependence in Graph Neural Networks. | Jan Schuchardt, Aleksandar Bojchevski, Johannes Klicpera, Stephan Gnnemann |
| 2020 | ALENEX | Group Centrality Maximization for Large-scale Graphs. | Eugenio Angriman, Alexander van der Grinten, Aleksandar Bojchevski, Daniel Zgner, Stephan Gnnemann, Henning Meyerhenke |
| 2020 | ICML | Efficient Robustness Certificates for Discrete Data: Sparsity-Aware Randomized Smoothing for Graphs, Images and More. | Aleksandar Bojchevski, Johannes Klicpera, Stephan Gnnemann |
| 2020 | KDD | Scaling Graph Neural Networks with Approximate PageRank. | Aleksandar Bojchevski, Johannes Klicpera, Bryan Perozzi, Amol Kapoor, Martin Blais, Benedek Rzemberczki, Michal Lukasik, Stephan Gnnemann |
| 2019 | ICLR | Predict then Propagate: Graph Neural Networks meet Personalized PageRank. | Johannes Klicpera, Aleksandar Bojchevski, Stephan Gnnemann |
| 2019 | ICML | Adversarial Attacks on Node Embeddings via Graph Poisoning. | Aleksandar Bojchevski, Stephan Gnnemann |
| 2018 | AAAI | Bayesian Robust Attributed Graph Clustering: Joint Learning of Partial Anomalies and Group Structure. | Aleksandar Bojchevski, Stephan Gnnemann |
| 2018 | ICDM | Anomaly Detection in Car-Booking Graphs. | Oleksandr Shchur, Aleksandar Bojchevski, Mohamed Farghal, Stephan Gnnemann, Yusuf Saber |
| 2018 | ICLR | Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking. | Aleksandar Bojchevski, Stephan Gnnemann |
| 2018 | ICML | NetGAN: Generating Graphs via Random Walks. | Aleksandar Bojchevski, Oleksandr Shchur, Daniel Zgner, Stephan Gnnemann |
| 2017 | KDD | Robust Spectral Clustering for Noisy Data: Modeling Sparse Corruptions Improves Latent Embeddings. | Aleksandar Bojchevski, Yves Matkovic, Stephan Gnnemann |