Seuraa
Aleksandar Bojchevski
Aleksandar Bojchevski
CISPA Helmholtz Center for Information Security
Vahvistettu sähköpostiosoite verkkotunnuksessa cispa.de - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
Predict then Propagate: Graph Neural Networks meet Personalized PageRank
J Klicpera, A Bojchevski, S Günnemann
International Conference on Learning Representations (ICLR), 2019
885*2019
Pitfalls of graph neural network evaluation
O Shchur, M Mumme, A Bojchevski, S Günnemann
Relational Representation Learning, NeurIPS 2018 Workshop, 2018
5822018
Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking
A Bojchevski, S Günnemann
International Conference on Learning Representations (ICLR) 2018, 2018
4082018
NetGAN: Generating Graphs via Random Walks
A Bojchevski, O Shchur, D Zügner, S Günnemann
International Conference on Machine Learning (ICML), 610-619, 2018
2992018
Adversarial Attacks on Node Embeddings via Graph Poisoning
A Bojchevski, S Günnemann
International Conference on Machine Learning (ICML), 695-704, 2019
2162019
Scaling graph neural networks with approximate pagerank
A Bojchevski, J Klicpera, B Perozzi, A Kapoor, M Blais, B Rózemberczki, ...
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
1192020
Certifiable Robustness to Graph Perturbations
A Bojchevski, S Günnemann
Advances in Neural Information Processing Systems (NeurIPS), 8317-8328, 2019
832019
Bayesian robust attributed graph clustering: Joint learning of partial anomalies and group structure
A Bojchevski, S Günnemann
AAAI Conference on Artificial Intelligence, 2018
672018
Robust Spectral Clustering for Noisy Data: Modeling Sparse Corruptions Improves Latent Embeddings
A Bojchevski, Y Matkovic, S Günnemann
International Conference on Knowledge Discovery and Data Mining (SIGKDD …, 2017
582017
Dual-primal graph convolutional networks
F Monti, O Shchur, A Bojchevski, O Litany, S Günnemann, MM Bronstein
Graph Embedding and Mining, ECML-PKDD 2019 Workshop, 2018
482018
Efficient robustness certificates for discrete data: Sparsity-aware randomized smoothing for graphs, images and more
A Bojchevski, J Klicpera, S Günnemann
International Conference on Machine Learning, 1003-1013, 2020
412020
LocText: relation extraction of protein localizations to assist database curation
JM Cejuela, S Vinchurkar, T Goldberg, MS Prabhu Shankar, ...
BMC bioinformatics 19 (1), 1-11, 2018
272018
Or Litany, Stephan Günnemann, and Michael M Bronstein. Dual-primal graph convolutional networks
F Monti, O Shchur, A Bojchevski
arXiv preprint arXiv:1806.00770 3, 2018
212018
Robustness of graph neural networks at scale
S Geisler, T Schmidt, H Şirin, D Zügner, A Bojchevski, S Günnemann
Advances in Neural Information Processing Systems 34, 7637-7649, 2021
202021
Is pagerank all you need for scalable graph neural networks?
A Bojchevski, J Klicpera, B Perozzi, M Blais, A Kapoor, M Lukasik, ...
ACM KDD, MLG Workshop, 2019
182019
Group centrality maximization for large-scale graphs
E Angriman, A van der Grinten, A Bojchevski, D Zügner, S Günnemann, ...
2020 Proceedings of the Twenty-Second Workshop on Algorithm Engineering and …, 2020
102020
nala: text mining natural language mutation mentions.
CJ Miguel, A Bojchevski, C Uhlig, R Bekmukhametov, KS Kumar, ...
Bioinformatics (Oxford, England), 2017
102017
Completing the picture: Randomized smoothing suffers from the curse of dimensionality for a large family of distributions
Y Wu, A Bojchevski, A Kuvshinov, S Günnemann
International Conference on Artificial Intelligence and Statistics, 3763-3771, 2021
82021
Attacking Graph Neural Networks at Scale
S Geisler, D Zügner, A Bojchevski, S Günnemann
Deep Learning for Graphs at AAAI Conference on Artificial Intelligence 2021, 2021
72021
Collective robustness certificates: Exploiting interdependence in graph neural networks
J Schuchardt, A Bojchevski, J Gasteiger, S Günnemann
International Conference on Learning Representations, 2020
72020
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Artikkelit 1–20