Aleksandar Bojchevski

65 papers A* 23A 3Journal 34Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	EvA: Evolutionary Attacks on Graphs. CoRR Mohammad Sadegh Akhondzadeh, Soroush H. Zargarbashi, Jimin Cao, Aleksandar Bojchevski
2025	J	`jnl`	Evaluating the transferability of adversarial robustness to target domains. Knowl. Inf. Syst. Anna-Kathrin Kopetzki, Aleksandar Bojchevski, Stephan Günnemann
2025	—	`conf`	KurTail : Kurtosis-based LLM Quantization. EMNLP (Findings) Mohammad Sadegh Akhondzadeh, Aleksandar Bojchevski, Evangelos Eleftheriou, Martino Dazzi
2025	J	`jnl`	KurTail : Kurtosis-based LLM Quantization. CoRR Mohammad Sadegh Akhondzadeh, Aleksandar Bojchevski, Evangelos Eleftheriou, Martino Dazzi
2025	J	`jnl`	Node-Level Data Valuation on Graphs. Trans. Mach. Learn. Res. Simone Antonelli, Aleksandar Bojchevski
2025	J	`jnl`	One Sample is Enough to Make Conformal Prediction Robust. CoRR Soroush H. Zargarbashi, Mohammad Sadegh Akhondzadeh, Aleksandar Bojchevski
2025	J	`jnl`	Optimal Conformal Prediction under Epistemic Uncertainty. CoRR Alireza Javanmardi, Soroush H. Zargarbashi, Santo M. A. R. Thies, Willem Waegeman, Aleksandar Bojchevski, Eyke Hüllermeier
2025	A*	`conf`	Robust Conformal Prediction with a Single Binary Certificate. ICLR Soroush H. Zargarbashi, Aleksandar Bojchevski
2025	J	`jnl`	Robust Conformal Prediction with a Single Binary Certificate. CoRR Soroush H. Zargarbashi, Aleksandar Bojchevski
2024	A*	`conf`	Conformal Inductive Graph Neural Networks. ICLR Soroush H. Zargarbashi, Aleksandar Bojchevski
2024	J	`jnl`	Conformal Inductive Graph Neural Networks. CoRR Soroush H. Zargarbashi, Aleksandar Bojchevski
2024	A*	`conf`	Rethinking Label Poisoning for GNNs: Pitfalls and Attacks. ICLR Vijay Lingam, Mohammad Sadegh Akhondzadeh, Aleksandar Bojchevski
2024	A*	`conf`	Robust Yet Efficient Conformal Prediction Sets. ICML Soroush H. Zargarbashi, Mohammad Sadegh Akhondzadeh, Aleksandar Bojchevski
2024	J	`jnl`	Robust Yet Efficient Conformal Prediction Sets. CoRR Soroush H. Zargarbashi, Mohammad Sadegh Akhondzadeh, Aleksandar Bojchevski
2024	A*	`conf`	SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors. NeurIPS Vijay Lingam, Atula Neerkaje, Aditya Vavre, Aneesh Shetty, Gautham Krishna Gudur, Joydeep Ghosh, Eunsol Choi, Alex Dimakis, Aleksandar Bojchevski, Sujay Sanghavi
2024	J	`jnl`	SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors. CoRR Vijay Lingam, Atula Tejaswi, Aditya Vavre, Aneesh Shetty, Gautham Krishna Gudur, Joydeep Ghosh, Alex Dimakis, Eunsol Choi, Aleksandar Bojchevski, Sujay Sanghavi
2024	J	`jnl`	SafePowerGraph: Safety-aware Evaluation of Graph Neural Networks for Transmission Power Grids. CoRR Salah Ghamizi, Aleksandar Bojchevski, Aoxiang Ma, Jun Cao
2023	A*	`conf`	Adversarial Weight Perturbation Improves Generalization in Graph Neural Networks. AAAI Yihan Wu, Aleksandar Bojchevski, Heng Huang
2023	J	`jnl`	Are Defenses for Graph Neural Networks Robust? CoRR Felix Mujkanovic, Simon Geisler, Stephan Günnemann, Aleksandar Bojchevski
2023	A*	`conf`	Are GATs Out of Balance? NeurIPS Nimrah Mustafa, Aleksandar Bojchevski, Rebekka Burkholz
2023	J	`jnl`	Are GATs Out of Balance? CoRR Nimrah Mustafa, Aleksandar Bojchevski, Rebekka Burkholz
2023	J	`jnl`	Collective Robustness Certificates: Exploiting Interdependence in Graph Neural Networks. CoRR Jan Schuchardt, Aleksandar Bojchevski, Johannes Gasteiger, Stephan Günnemann
2023	A*	`conf`	Conformal Prediction Sets for Graph Neural Networks. ICML Soroush H. Zargarbashi, Simone Antonelli, Aleksandar Bojchevski
2023	A*	`conf`	Hierarchical Randomized Smoothing. NeurIPS Yan Scholten, Jan Schuchardt, Aleksandar Bojchevski, Stephan Günnemann
2023	J	`jnl`	Hierarchical Randomized Smoothing. CoRR Yan Scholten, Jan Schuchardt, Aleksandar Bojchevski, Stephan Günnemann
2023	A*	`conf`	Localized Randomized Smoothing for Collective Robustness Certification. ICLR Jan Schuchardt, Tom Wollschläger, Aleksandar Bojchevski, Stephan Günnemann
2023	A	`conf`	Probing Graph Representations. AISTATS Mohammad Sadegh Akhondzadeh, Vijay Lingam, Aleksandar Bojchevski
2023	J	`jnl`	Probing Graph Representations. CoRR Mohammad Sadegh Akhondzadeh, Vijay Lingam, Aleksandar Bojchevski
2023	J	`jnl`	Randomized Message-Interception Smoothing: Gray-box Certificates for Graph Neural Networks. CoRR Yan Scholten, Jan Schuchardt, Simon Geisler, Aleksandar Bojchevski, Stephan Günnemann
2023	A*	`conf`	Unveiling the sampling density in non-uniform geometric graphs. ICLR Raffaele Paolino, Aleksandar Bojchevski, Stephan Günnemann, Gitta Kutyniok, Ron Levie
2022	J	`jnl`	Adversarial Weight Perturbation Improves Generalization in Graph Neural Network. CoRR Yihan Wu, Aleksandar Bojchevski, Heng Huang
2022	A*	`conf`	Are Defenses for Graph Neural Networks Robust? NeurIPS Felix Mujkanovic, Simon Geisler, Stephan Günnemann, Aleksandar Bojchevski
2022	A*	`conf`	Generalization of Neural Combinatorial Solvers Through the Lens of Adversarial Robustness. ICLR Simon Geisler, Johanna Sommer, Jan Schuchardt, Aleksandar Bojchevski, Stephan Günnemann
2022	J	`jnl`	Localized Randomized Smoothing for Collective Robustness Certification. CoRR Jan Schuchardt, Tom Wollschläger, Aleksandar Bojchevski, Stephan Günnemann
2022	A*	`conf`	Randomized Message-Interception Smoothing: Gray-box Certificates for Graph Neural Networks. NeurIPS Yan Scholten, Jan Schuchardt, Simon Geisler, Aleksandar Bojchevski, Stephan Günnemann
2022	J	`jnl`	Unveiling the Sampling Density in Non-Uniform Geometric Graphs. CoRR Raffaele Paolino, Aleksandar Bojchevski, Stephan Günnemann, Gitta Kutyniok, Ron Levie
2021	A*	`conf`	Collective Robustness Certificates: Exploiting Interdependence in Graph Neural Networks. ICLR Jan Schuchardt, Aleksandar Bojchevski, Johannes Klicpera, Stephan Günnemann
2021	A	`conf`	Completing the Picture: Randomized Smoothing Suffers from the Curse of Dimensionality for a Large Family of Distributions. AISTATS Yihan Wu, Aleksandar Bojchevski, Aleksei Kuvshinov, Stephan Günnemann
2021	J	`jnl`	Generalization of Neural Combinatorial Solvers Through the Lens of Adversarial Robustness. CoRR Simon Geisler, Johanna Sommer, Jan Schuchardt, Aleksandar Bojchevski, Stephan Günnemann
2021	A*	`conf`	Robustness of Graph Neural Networks at Scale. NeurIPS Simon Geisler, Tobias Schmidt, Hakan Sirin, Daniel Zügner, Aleksandar Bojchevski, Stephan Günnemann
2021	J	`jnl`	Robustness of Graph Neural Networks at Scale. CoRR Simon Geisler, Tobias Schmidt, Hakan Sirin, Daniel Zügner, Aleksandar Bojchevski, Stephan Günnemann
2020	A*	`conf`	Efficient Robustness Certificates for Discrete Data: Sparsity-Aware Randomized Smoothing for Graphs, Images and More. ICML Aleksandar Bojchevski, Johannes Klicpera, Stephan Günnemann
2020	J	`jnl`	Efficient Robustness Certificates for Discrete Data: Sparsity-Aware Randomized Smoothing for Graphs, Images and More. CoRR Aleksandar Bojchevski, Johannes Klicpera, Stephan Günnemann
2020	A	`conf`	Group Centrality Maximization for Large-scale Graphs. ALENEX Eugenio Angriman, Alexander van der Grinten, Aleksandar Bojchevski, Daniel Zügner, Stephan Günnemann, Henning Meyerhenke
2020	—	`—`	Machine Learning on Graphs in the Presence of Noise and Adversaries. Aleksandar Bojchevski
2020	A*	`conf`	Scaling Graph Neural Networks with Approximate PageRank. KDD Aleksandar Bojchevski, Johannes Klicpera, Bryan Perozzi, Amol Kapoor, Martin Blais, Benedek Rózemberczki, Michal Lukasik, Stephan Günnemann
2020	J	`jnl`	Scaling Graph Neural Networks with Approximate PageRank. CoRR Aleksandar Bojchevski, Johannes Klicpera, Bryan Perozzi, Amol Kapoor, Martin Blais, Benedek Rózemberczki, Michal Lukasik, Stephan Günnemann
2019	A*	`conf`	Adversarial Attacks on Node Embeddings via Graph Poisoning. ICML Aleksandar Bojchevski, Stephan Günnemann
2019	A*	`conf`	Certifiable Robustness to Graph Perturbations. NeurIPS Aleksandar Bojchevski, Stephan Günnemann
2019	J	`jnl`	Certifiable Robustness to Graph Perturbations. CoRR Aleksandar Bojchevski, Stephan Günnemann
2019	J	`jnl`	Group Centrality Maximization for Large-scale Graphs. CoRR Eugenio Angriman, Alexander van der Grinten, Aleksandar Bojchevski, Daniel Zügner, Stephan Günnemann, Henning Meyerhenke
2019	—	`conf`	Predict then Propagate: Graph Neural Networks meet Personalized PageRank. ICLR (Poster) Johannes Klicpera, Aleksandar Bojchevski, Stephan Günnemann
2018	J	`jnl`	Adversarial Attacks on Node Embeddings. CoRR Aleksandar Bojchevski, Stephan Günnemann
2018	—	`conf`	Anomaly Detection in Car-Booking Graphs. ICDM Workshops Oleksandr Shchur, Aleksandar Bojchevski, Mohamed Farghal, Stephan Günnemann, Yusuf Saber
2018	A*	`conf`	Bayesian Robust Attributed Graph Clustering: Joint Learning of Partial Anomalies and Group Structure. AAAI Aleksandar Bojchevski, Stephan Günnemann
2018	—	`conf`	Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking. ICLR (Poster) Aleksandar Bojchevski, Stephan Günnemann
2018	J	`jnl`	Dual-Primal Graph Convolutional Networks. CoRR Federico Monti, Oleksandr Shchur, Aleksandar Bojchevski, Or Litany, Stephan Günnemann, Michael M. Bronstein
2018	J	`jnl`	LocText: relation extraction of protein localizations to assist database curation. BMC Bioinform. Juan Miguel Cejuela, Shrikant Vinchurkar, Tatyana Goldberg, Madhukar Sollepura Prabhu Shankar, Ashish Baghudana, Aleksandar Bojchevski, Carsten Uhlig, André Ofner, Pandu Raharja-Liu, Lars Juhl Jensen, Burkhard Rost
2018	A*	`conf`	NetGAN: Generating Graphs via Random Walks. ICML Aleksandar Bojchevski, Oleksandr Shchur, Daniel Zügner, Stephan Günnemann
2018	J	`jnl`	NetGAN: Generating Graphs via Random Walks. CoRR Aleksandar Bojchevski, Oleksandr Shchur, Daniel Zügner, Stephan Günnemann
2018	J	`jnl`	Personalized Embedding Propagation: Combining Neural Networks on Graphs with Personalized PageRank. CoRR Johannes Klicpera, Aleksandar Bojchevski, Stephan Günnemann
2018	J	`jnl`	Pitfalls of Graph Neural Network Evaluation. CoRR Oleksandr Shchur, Maximilian Mumme, Aleksandar Bojchevski, Stephan Günnemann
2017	J	`jnl`	Deep Gaussian Embedding of Attributed Graphs: Unsupervised Inductive Learning via Ranking. CoRR Aleksandar Bojchevski, Stephan Günnemann
2017	A*	`conf`	Robust Spectral Clustering for Noisy Data: Modeling Sparse Corruptions Improves Latent Embeddings. KDD Aleksandar Bojchevski, Yves Matkovic, Stephan Günnemann
2017	J	`jnl`	nala: text mining natural language mutation mentions. Bioinform. Juan Miguel Cejuela, Aleksandar Bojchevski, Carsten Uhlig, Rustem Bekmukhametov, Sanjeev Kumar Karn, Shpend Mahmuti, Ashish Baghudana, Ankit Dubey, Venkata P. Satagopam, Burkhard Rost