Aleksandar Bojchevski

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 53

Top Topics

Relation Extraction

Graph Representation

Pitman Yor Process

Top Venues

Publications

Soroush H. Zargarbashi, Aleksandar Bojchevski
Conformal Inductive Graph Neural Networks. ICLR (2024)
Vijay Lingam, Atula Tejaswi, Aditya Vavre, Aneesh Shetty, Gautham Krishna Gudur, Joydeep Ghosh, Alex Dimakis, Eunsol Choi, Aleksandar Bojchevski, Sujay Sanghavi
SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors. CoRR (2024)
Soroush H. Zargarbashi, Aleksandar Bojchevski
Conformal Inductive Graph Neural Networks. CoRR (2024)
Vijay Lingam, Mohammad Sadegh Akhondzadeh, Aleksandar Bojchevski
Rethinking Label Poisoning for GNNs: Pitfalls and Attacks. ICLR (2024)
Soroush H. Zargarbashi, Mohammad Sadegh Akhondzadeh, Aleksandar Bojchevski
Robust Yet Efficient Conformal Prediction Sets. CoRR (2024)
Salah Ghamizi, Aleksandar Bojchevski, Aoxiang Ma, Jun Cao
SafePowerGraph: Safety-aware Evaluation of Graph Neural Networks for Transmission Power Grids. CoRR (2024)
Yan Scholten, Jan Schuchardt, Aleksandar Bojchevski, Stephan Günnemann
Hierarchical Randomized Smoothing. CoRR (2023)
Jan Schuchardt, Aleksandar Bojchevski, Johannes Gasteiger, Stephan Günnemann
Collective Robustness Certificates: Exploiting Interdependence in Graph Neural Networks. CoRR (2023)
Nimrah Mustafa, Aleksandar Bojchevski, Rebekka Burkholz
Are GATs Out of Balance? CoRR (2023)
Mohammad Sadegh Akhondzadeh, Vijay Lingam, Aleksandar Bojchevski
Probing Graph Representations. CoRR (2023)
Nimrah Mustafa, Aleksandar Bojchevski, Rebekka Burkholz
Are GATs Out of Balance? NeurIPS (2023)
Jan Schuchardt, Tom Wollschläger, Aleksandar Bojchevski, Stephan Günnemann
Localized Randomized Smoothing for Collective Robustness Certification. ICLR (2023)
Yan Scholten, Jan Schuchardt, Aleksandar Bojchevski, Stephan Günnemann
Hierarchical Randomized Smoothing. NeurIPS (2023)
Mohammad Sadegh Akhondzadeh, Vijay Lingam, Aleksandar Bojchevski
Probing Graph Representations. AISTATS (2023)
Yan Scholten, Jan Schuchardt, Simon Geisler, Aleksandar Bojchevski, Stephan Günnemann
Randomized Message-Interception Smoothing: Gray-box Certificates for Graph Neural Networks. CoRR (2023)
Soroush H. Zargarbashi, Simone Antonelli, Aleksandar Bojchevski
Conformal Prediction Sets for Graph Neural Networks. ICML (2023)
Yihan Wu, Aleksandar Bojchevski, Heng Huang
Adversarial Weight Perturbation Improves Generalization in Graph Neural Networks. AAAI (2023)
Raffaele Paolino, Aleksandar Bojchevski, Stephan Günnemann, Gitta Kutyniok, Ron Levie
Unveiling the sampling density in non-uniform geometric graphs. ICLR (2023)
Felix Mujkanovic, Simon Geisler, Stephan Günnemann, Aleksandar Bojchevski
Are Defenses for Graph Neural Networks Robust? CoRR (2023)
Simon Geisler, Johanna Sommer, Jan Schuchardt, Aleksandar Bojchevski, Stephan Günnemann
Generalization of Neural Combinatorial Solvers Through the Lens of Adversarial Robustness. ICLR (2022)
Yan Scholten, Jan Schuchardt, Simon Geisler, Aleksandar Bojchevski, Stephan Günnemann
Randomized Message-Interception Smoothing: Gray-box Certificates for Graph Neural Networks. NeurIPS (2022)
Yihan Wu, Aleksandar Bojchevski, Heng Huang
Adversarial Weight Perturbation Improves Generalization in Graph Neural Network. CoRR (2022)
Felix Mujkanovic, Simon Geisler, Stephan Günnemann, Aleksandar Bojchevski
Are Defenses for Graph Neural Networks Robust? NeurIPS (2022)
Jan Schuchardt, Tom Wollschläger, Aleksandar Bojchevski, Stephan Günnemann
Localized Randomized Smoothing for Collective Robustness Certification. CoRR (2022)
Raffaele Paolino, Aleksandar Bojchevski, Stephan Günnemann, Gitta Kutyniok, Ron Levie
Unveiling the Sampling Density in Non-Uniform Geometric Graphs. CoRR (2022)
Simon Geisler, Johanna Sommer, Jan Schuchardt, Aleksandar Bojchevski, Stephan Günnemann
Generalization of Neural Combinatorial Solvers Through the Lens of Adversarial Robustness. CoRR (2021)
Yihan Wu, Aleksandar Bojchevski, Aleksei Kuvshinov, Stephan Günnemann
Completing the Picture: Randomized Smoothing Suffers from the Curse of Dimensionality for a Large Family of Distributions. AISTATS (2021)
Simon Geisler, Tobias Schmidt, Hakan Sirin, Daniel Zügner, Aleksandar Bojchevski, Stephan Günnemann
Robustness of Graph Neural Networks at Scale. CoRR (2021)
Jan Schuchardt, Aleksandar Bojchevski, Johannes Klicpera, Stephan Günnemann
Collective Robustness Certificates: Exploiting Interdependence in Graph Neural Networks. ICLR (2021)
Simon Geisler, Tobias Schmidt, Hakan Sirin, Daniel Zügner, Aleksandar Bojchevski, Stephan Günnemann
Robustness of Graph Neural Networks at Scale. NeurIPS (2021)
Aleksandar Bojchevski, Johannes Klicpera, Bryan Perozzi, Amol Kapoor, Martin Blais, Benedek Rózemberczki, Michal Lukasik, Stephan Günnemann
Scaling Graph Neural Networks with Approximate PageRank. CoRR (2020)
Aleksandar Bojchevski, Johannes Klicpera, Stephan Günnemann
Efficient Robustness Certificates for Discrete Data: Sparsity-Aware Randomized Smoothing for Graphs, Images and More. CoRR (2020)
Eugenio Angriman, Alexander van der Grinten, Aleksandar Bojchevski, Daniel Zügner, Stephan Günnemann, Henning Meyerhenke
Group Centrality Maximization for Large-scale Graphs. ALENEX (2020)
Aleksandar Bojchevski, Johannes Klicpera, Stephan Günnemann
Efficient Robustness Certificates for Discrete Data: Sparsity-Aware Randomized Smoothing for Graphs, Images and More. ICML (2020)
Aleksandar Bojchevski, Johannes Klicpera, Bryan Perozzi, Amol Kapoor, Martin Blais, Benedek Rózemberczki, Michal Lukasik, Stephan Günnemann
Scaling Graph Neural Networks with Approximate PageRank. KDD (2020)
Aleksandar Bojchevski, Stephan Günnemann
Certifiable Robustness to Graph Perturbations. NeurIPS (2019)
Aleksandar Bojchevski, Stephan Günnemann
Certifiable Robustness to Graph Perturbations. CoRR (2019)
Aleksandar Bojchevski, Stephan Günnemann
Adversarial Attacks on Node Embeddings via Graph Poisoning. ICML (2019)
Eugenio Angriman, Alexander van der Grinten, Aleksandar Bojchevski, Daniel Zügner, Stephan Günnemann, Henning Meyerhenke
Group Centrality Maximization for Large-scale Graphs. CoRR (2019)
Johannes Klicpera, Aleksandar Bojchevski, Stephan Günnemann
Predict then Propagate: Graph Neural Networks meet Personalized PageRank. ICLR (Poster) (2019)
Aleksandar Bojchevski, Stephan Günnemann
Bayesian Robust Attributed Graph Clustering: Joint Learning of Partial Anomalies and Group Structure. AAAI (2018)
Federico Monti, Oleksandr Shchur, Aleksandar Bojchevski, Or Litany, Stephan Günnemann, Michael M. Bronstein
Dual-Primal Graph Convolutional Networks. CoRR (2018)
Aleksandar Bojchevski, Oleksandr Shchur, Daniel Zügner, Stephan Günnemann
NetGAN: Generating Graphs via Random Walks. CoRR (2018)
Oleksandr Shchur, Maximilian Mumme, Aleksandar Bojchevski, Stephan Günnemann
Pitfalls of Graph Neural Network Evaluation. CoRR (2018)
Johannes Klicpera, Aleksandar Bojchevski, Stephan Günnemann
Personalized Embedding Propagation: Combining Neural Networks on Graphs with Personalized PageRank. CoRR (2018)
Oleksandr Shchur, Aleksandar Bojchevski, Mohamed Farghal, Stephan Günnemann, Yusuf Saber
Anomaly Detection in Car-Booking Graphs. ICDM Workshops (2018)
Aleksandar Bojchevski, Stephan Günnemann
Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking. ICLR (Poster) (2018)
Aleksandar Bojchevski, Stephan Günnemann
Adversarial Attacks on Node Embeddings. CoRR (2018)
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
LocText: relation extraction of protein localizations to assist database curation. BMC Bioinform. 19 (1) (2018)
Aleksandar Bojchevski, Oleksandr Shchur, Daniel Zügner, Stephan Günnemann
NetGAN: Generating Graphs via Random Walks. ICML (2018)
Aleksandar Bojchevski, Yves Matkovic, Stephan Günnemann
Robust Spectral Clustering for Noisy Data: Modeling Sparse Corruptions Improves Latent Embeddings. KDD (2017)
Juan Miguel Cejuela, Aleksandar Bojchevski, Carsten Uhlig, Rustem Bekmukhametov, Sanjeev Kumar Karn, Shpend Mahmuti, Ashish Baghudana, Ankit Dubey, Venkata P. Satagopam, Burkhard Rost
nala: text mining natural language mutation mentions. Bioinform. 33 (12) (2017)
Aleksandar Bojchevski, Stephan Günnemann
Deep Gaussian Embedding of Attributed Graphs: Unsupervised Inductive Learning via Ranking. CoRR (2017)