Aleksandar Bojchevski

发表

Certifiable Robustness to Graph Perturbations

Stephan Günnemann, Aleksandar Bojchevski, Aleksandar Bojchevski, 2019, NeurIPS.

Dual-Primal Graph Convolutional Networks pdf

Stephan Günnemann, Michael M. Bronstein, Aleksandar Bojchevski, 2018, ArXiv.

Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking

Stephan Günnemann, Aleksandar Bojchevski, Aleksandar Bojchevski, 2017, ICLR.

Is PageRank All You Need for Scalable Graph Neural Networks ?

Aleksandar Bojchevski, Stephan Günnemann, M. Lukasik, 2019 .

Predict then Propagate: Combining neural networks with personalized pagerank for classification on graphs

Stephan Günnemann, Johannes Klicpera, Aleksandar Bojchevski, 2018, ICLR 2018.

Data and text mining nala : text mining natural language mutation mentions

Sanjeev Kumar Karn, B. Rost, Aleksandar Bojchevski, 2017 .

Localized Randomized Smoothing for Collective Robustness Certification

Aleksandar Bojchevski, Stephan Gunnemann, Jan Schuchardt, 2022, 2210.16140.

Scaling Graph Neural Networks with Approximate PageRank

Aleksandar Bojchevski, M. Lukasik, Bryan Perozzi, 2020, KDD.

Adversarial Weight Perturbation Improves Generalization in Graph Neural Network

Aleksandar Bojchevski, Yihan Wu, Heng Huang, 2022, ArXiv.

Randomized Message-Interception Smoothing: Gray-box Certificates for Graph Neural Networks

Aleksandar Bojchevski, Simon Geisler, Stephan Gunnemann, 2023, NeurIPS.

Unveiling the Sampling Density in Non-Uniform Geometric Graphs

G. Kutyniok, Aleksandar Bojchevski, Stephan Günnemann, 2022, ICLR.

Robust Spectral Clustering for Noisy Data: Modeling Sparse Corruptions Improves Latent Embeddings

Stephan Günnemann, Aleksandar Bojchevski, Yves Matkovic, 2017, KDD.

Robust Spectral Clustering for Noisy Data

Aleksandar Bojchevski, 2017 .

Bayesian Robust Attributed Graph Clustering: Joint Learning of Partial Anomalies and Group Structure

Stephan Günnemann, Aleksandar Bojchevski, Aleksandar Bojchevski, 2018, AAAI.

Predict then Propagate: Graph Neural Networks meet Personalized PageRank

Stephan Günnemann, Johannes Klicpera, Aleksandar Bojchevski, 2018, ICLR.

Pitfalls of Graph Neural Network Evaluation pdf

Stephan Günnemann, Aleksandar Bojchevski, Oleksandr Shchur, 2018, ArXiv.

nala: text mining natural language mutation mentions

Burkhard Rost, Aleksandar Bojchevski, Sanjeev Kumar Karn, 2017, Bioinform..

LocText: relation extraction of protein localizations to assist database curation

Burkhard Rost, Lars Juhl Jensen, Aleksandar Bojchevski, 2018, BMC Bioinformatics.

Generalization of Neural Combinatorial Solvers Through the Lens of Adversarial Robustness

Aleksandar Bojchevski, Simon Geisler, Stephan Gunnemann, 2021, ICLR.

Probing Graph Representations

Mohammad Sadegh Akhondzadeh, Aleksandar Bojchevski, Vijay Lingam, 2023, AISTATS.

Adversarial Attacks on Node Embeddings via Graph Poisoning

Stephan Günnemann, Aleksandar Bojchevski, Aleksandar Bojchevski, 2018, ICML.

Are Defenses for Graph Neural Networks Robust?

Aleksandar Bojchevski, Simon Geisler, Stephan Gunnemann, 2023, NeurIPS.

Adversarial Weight Perturbation Improves Generalization in Graph Neural Network

Aleksandar Bojchevski, Yihan Wu, Heng Huang, 2022, AAAI.

NetGAN: Generating Graphs via Random Walks pdf

Stephan Günnemann, Daniel Zügner, Aleksandar Bojchevski, 2018, ICML.

Deep Gaussian Embedding of Attributed Graphs: Unsupervised Inductive Learning via Ranking pdf

Stephan Günnemann, Aleksandar Bojchevski, Aleksandar Bojchevski, 2017, ArXiv.

Localized Randomized Smoothing for Collective Robustness Certification

Aleksandar Bojchevski, Stephan Günnemann, Jan Schuchardt, 2022, ICLR.

Efficient Robustness Certificates for Discrete Data: Sparsity-Aware Randomized Smoothing for Graphs, Images and More pdf

Stephan Günnemann, Johannes Klicpera, Aleksandar Bojchevski, 2020, ICML.

Robustness of Graph Neural Networks at Scale

Aleksandar Bojchevski, Tobias Schmidt, D. Zugner, 2021, NeurIPS.

Collective Robustness Certificates: Exploiting Interdependence in Graph Neural Networks

Stephan Günnemann, Aleksandar Bojchevski, Johannes Klicpera, 2023, ICLR.

Personalized Embedding Propagation: Combining Neural Networks on Graphs with Personalized PageRank pdf

Stephan Günnemann, Johannes Klicpera, Aleksandar Bojchevski, 2018, ArXiv.

GRAPH NEURAL NETWORKS

Aleksandar Bojchevski, Stephan Günnemann, Johannes Klicpera, 2021 .

Adversarial Attacks on Node Embeddings pdf

Stephan Günnemann, Aleksandar Bojchevski, Aleksandar Bojchevski, 2018, ICML 2019.

Group Centrality Maximization for Large-scale Graphs pdf

Stephan Günnemann, Henning Meyerhenke, Daniel Zügner, 2019, ALENEX.

Completing the Picture: Randomized Smoothing Suffers from the Curse of Dimensionality for a Large Family of Distributions

Stephan Günnemann, Aleksandar Bojchevski, Yihan Wu, 2021, AISTATS.

LocText: relation extraction of protein localizations to assist database curation

B. Rost, Aleksandar Bojchevski, Tatyana Goldberg, 2018, BMC Bioinformatics.

Robust Yet Efficient Conformal Prediction Sets

Mohammad Sadegh Akhondzadeh, Aleksandar Bojchevski, Soroush H. Zargarbashi, 2024, ICML.

Conformal Prediction Sets for Graph Neural Networks

Aleksandar Bojchevski, Simone Antonelli, Soroush H. Zargarbashi, 2023, ICML.