Aleksandar Bojchevski

发表

Adversarial Attacks on Node Embeddings via Graph Poisoning

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

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

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

Efficient Robustness Certificates for Graph Neural Networks via Sparsity-Aware Randomized Smoothing

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

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.

GraphGAN: Generating Graphs via Random Walks

Stephan Günnemann, Daniel Zügner, Aleksandar Bojchevski, 2018 .

Certifiable Robustness to Graph Perturbations

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

Pitfalls of Graph Neural Network Evaluation pdf

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

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

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

LocText: relation extraction of protein localizations to assist database curation

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

nala: text mining natural language mutation mentions

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

Group Centrality Maximization for Large-scale Graphs pdf

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

Scaling Graph Neural Networks with Approximate PageRank

Johannes Klicpera, Aleksandar Bojchevski, Bryan Perozzi, 2020, KDD.

NetGAN: Generating Graphs via Random Walks pdf

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

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

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

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

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

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

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

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

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

Anomaly Detection in Car-Booking Graphs

Stephan Günnemann, Aleksandar Bojchevski, Yusuf Saber, 2018, 2018 IEEE International Conference on Data Mining Workshops (ICDMW).

Adversarial Attacks on Node Embeddings pdf

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

Predict then Propagate: Graph Neural Networks meet Personalized PageRank

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

Generalization of Neural Combinatorial Solvers Through the Lens of Adversarial Robustness pdf

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

Collective Robustness Certificates: Exploiting Interdependence in Graph Neural Networks

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

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.

Robustness of Graph Neural Networks at Scale pdf

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