Aleksandar Bojchevski
Titolo
Citata da
Citata da
Anno
Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking
A Bojchevski, S GŁnnemann
International Conference on Learning Representations (ICLR) 2018, 2018
142*2018
NetGAN: Generating Graphs via Random Walks
A Bojchevski, O Shchur, D ZŁgner, S GŁnnemann
International Conference on Machine Learning (ICML), 610-619, 2018
1202018
Predict then Propagate: Graph Neural Networks meet Personalized PageRank
J Klicpera, A Bojchevski, S GŁnnemann
International Conference on Learning Representations (ICLR), 2019
102*2019
Pitfalls of graph neural network evaluation
O Shchur, M Mumme, A Bojchevski, S GŁnnemann
Relational Representation Learning, NeurIPS 2018 Workshop, 2018
862018
Adversarial Attacks on Node Embeddings via Graph Poisoning
A Bojchevski, S GŁnnemann
International Conference on Machine Learning (ICML), 695-704, 2019
342019
Robust Spectral Clustering for Noisy Data: Modeling Sparse Corruptions Improves Latent Embeddings
A Bojchevski, Y Matkovic, S GŁnnemann
International Conference on Knowledge Discovery and Data Mining (SIGKDD†…, 2017
312017
Bayesian robust attributed graph clustering: Joint learning of partial anomalies and group structure
A Bojchevski, S GŁnnemann
AAAI Conference on Artificial Intelligence, 2018
262018
Adversarial attacks on node embeddings
A Bojchevski, S GŁnnemann
202018
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 GŁnnemann, MM Bronstein
Graph Embedding and Mining, ECML-PKDD 2019 Workshop, 2018
162018
Certifiable Robustness to Graph Perturbations
A Bojchevski, S GŁnnemann
Advances in Neural Information Processing Systems (NeurIPS), 8317-8328, 2019
142019
Or Litany, Stephan GŁnnemann, and Michael M Bronstein. Dual-primal graph convolutional networks
F Monti, O Shchur, A Bojchevski
arXiv preprint arXiv:1806.00770, 2018
112018
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
52019
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 GŁnnemann
arXiv preprint arXiv:2008.12952, 2020
12020
Group Centrality Maximization for Large-scale Graphs
E Angriman, A van der Grinten, A Bojchevski, D ZŁgner, S GŁnnemann, ...
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 GŁnnemann, 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 Růzemberczki, ...
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, ...
Il sistema al momento non puÚ eseguire l'operazione. Riprova piý tardi.
Articoli 1–20