Oleksandr Shchur
Cited by
Cited by
Pitfalls of Graph Neural Network Evaluation
O Shchur, M Mumme, A Bojchevski, S Günnemann
Relational Representation Learning Workshop, NeurIPS 2018, 2018
NetGAN: Generating Graphs via Random Walks
A Bojchevski, O Shchur, D Zügner, S Günnemann
International Conference on Machine Learning (ICML), 2018
Introduction to tensor decompositions and their applications in machine learning
S Rabanser, O Shchur, S Günnemann
arXiv preprint arXiv:1711.10781, 2017
Dual-primal graph convolutional networks
F Monti, O Shchur, A Bojchevski, O Litany, S Günnemann, MM Bronstein
Graph Embedding and Mining Workshop, ECML-PKDD 2019, 2018
Intensity-Free Learning of Temporal Point Processes
O Shchur, M Biloš, S Günnemann
International Conference on Learning Representations (ICLR), 2020
Overlapping Community Detection with Graph Neural Networks
O Shchur, S Günnemann
Deep Learning on Graphs Workshop, KDD 2019, 2019
Fast and Flexible Temporal Point Processes with Triangular Maps
O Shchur, N Gao, M Biloš, S Günnemann
Advances in Neural Information Processing Systems (NeurIPS), 2020
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
Neural Temporal Point Processes: A Review
O Shchur, AC Türkmen, T Januschowski, S Günnemann
International Joint Conference on Artificial Intelligence (IJCAI), 2021
Detecting Anomalous Event Sequences with Temporal Point Processes
O Shchur, AC Türkmen, T Januschowski, J Gasthaus, S Günnemann
arXiv preprint arXiv:2106.04465, 2021
The system can't perform the operation now. Try again later.
Articles 1–10