Aleksandar Bojchevski
Title
Cited by
Cited by
Year
Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking
A Bojchevski, S Günnemann
International Conference on Learning Representations (ICLR) 2018, 2018
154*2018
NetGAN: Generating Graphs via Random Walks
A Bojchevski, O Shchur, D Zügner, S Günnemann
International Conference on Machine Learning (ICML), 610-619, 2018
1312018
Predict then Propagate: Graph Neural Networks meet Personalized PageRank
J Klicpera, A Bojchevski, S Günnemann
International Conference on Learning Representations (ICLR), 2019
114*2019
Pitfalls of graph neural network evaluation
O Shchur, M Mumme, A Bojchevski, S Günnemann
Relational Representation Learning, NeurIPS 2018 Workshop, 2018
972018
Adversarial Attacks on Node Embeddings via Graph Poisoning
A Bojchevski, S Günnemann
International Conference on Machine Learning (ICML), 695-704, 2019
412019
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
332017
Bayesian robust attributed graph clustering: Joint learning of partial anomalies and group structure
A Bojchevski, S Günnemann
AAAI Conference on Artificial Intelligence, 2018
272018
Adversarial attacks on node embeddings
A Bojchevski, S Günnemann
212018
LocText: relation extraction of protein localizations to assist database curation
JM Cejuela, S Vinchurkar, T Goldberg, MSP Shankar, A Baghudana, ...
BMC bioinformatics 19 (1), 15, 2018
192018
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
182018
Certifiable Robustness to Graph Perturbations
A Bojchevski, S Günnemann
Advances in Neural Information Processing Systems (NeurIPS), 8317-8328, 2019
152019
Or Litany, Stephan Günnemann, and Michael M Bronstein. Dual-primal graph convolutional networks
F Monti, O Shchur, A Bojchevski
arXiv preprint arXiv:1806.00770, 2018
122018
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
62019
nala: text mining natural language mutation mentions.
CJ Miguel, A Bojchevski, C Uhlig, R Bekmukhametov, KS Kumar, ...
Bioinformatics (Oxford, England), 2017
52017
EMAx: Software for C++ source code analysis
E Stankov, M Jovanov, A Bojchevski, A Madevska Bogdanova
Olympiads in Informatics, 2013
22013
Efficient robustness certificates for discrete data: Sparsity-aware randomized smoothing for graphs, images and more
A Bojchevski, J Klicpera, S Günnemann
arXiv preprint arXiv:2008.12952, 2020
12020
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
12020
Anomaly Detection in Car-Booking Graphs
O Shchur, A Bojchevski, M Farghal, S Günnemann, Y Saber
2018 IEEE International Conference on Data Mining Workshops (ICDMW), 604-607, 2018
12018
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
2020
Supporting online material for: nala: text mining of natural language mutations mentions
JM Cejuela, A Bojchevski, C Uhlig, R Bekmukhametov, SK Karn, ...
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