Követés
Elahe Ghalebi
Elahe Ghalebi
Vector Institute
E-mail megerősítve itt: vectorinstitute.ai
Cím
Hivatkozott rá
Hivatkozott rá
Év
Extracting implicit social relation for social recommendation techniques in user rating prediction
SM Taheri, H Mahyar, M Firouzi, E Ghalebi K, R Grosu, A Movaghar
Proceedings of the 26th international conference on world wide web companion …, 2017
412017
Unsupervised wafermap patterns clustering via variational autoencoders
P Tulala, H Mahyar, E Ghalebi, R Grosu
2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018
332018
Compressive sensing of high betweenness centrality nodes in networks
H Mahyar, R Hasheminezhad, E Ghalebi, A Nazemian, R Grosu, ...
Physica A: Statistical Mechanics and its Applications 497, 166-184, 2018
322018
On evaluation metrics for graph generative models
R Thompson, B Knyazev, E Ghalebi, J Kim, GW Taylor
arXiv preprint arXiv:2201.09871, 2022
312022
Identifying central nodes for information flow in social networks using compressive sensing
H Mahyar, R Hasheminezhad, E Ghalebi, A Nazemian, R Grosu, ...
Social Network Analysis and Mining 8, 1-24, 2018
242018
HellRank: a Hellinger-based centrality measure for bipartite social networks
SM Taheri, H Mahyar, M Firouzi, E Ghalebi K, R Grosu, A Movaghar
Social Network Analysis and Mining 7, 1-16, 2017
232017
Centrality-based group formation in group recommender systems
H Mahyar, KE Ghalebi, SM Morshedi, S Khalili, R Grosu, A Movaghar
Proceedings of the 26th International conference on world wide web companion …, 2017
222017
CS-ComDet: A compressive sensing approach for inter-community detection in social networks
H Mahyar, HR Rabiee, A Movaghar, E Ghalebi, A Nazemian
Proceedings of the 2015 IEEE/ACM International Conference on Advances in …, 2015
182015
Dynamic network model from partial observations
E Ghalebi, B Mirzasoleiman, R Grosu, J Leskovec
Advances in Neural Information Processing Systems 31, 2018
152018
Building lego using deep generative models of graphs
R Thompson, E Ghalebi, T DeVries, GW Taylor
arXiv preprint arXiv:2012.11543, 2020
142020
A low-cost sparse recovery framework for weighted networks under compressive sensing
H Mahyar, HR Rabiee, A Movaghar, R Hasheminezhad, E Ghalebi, ...
2015 IEEE International Conference on Smart City/SocialCom/SustainCom …, 2015
112015
Compressive sampling for sparse recovery in networks
E Ghalebi, H Mahyar, R Grosu, HR Rabiee
Proc of the 23rd ACM SIGKDD conference on knowledge discovery and data …, 2017
42017
SMGRL: A scalable multi-resolution graph representation learning framework
R Namazi, E Ghalebi, S Williamson, H Mahyar
arXiv preprint arXiv:2201.12670, 2022
32022
A Nonparametric Bayesian Model for Sparse Dynamic Multigraphs
E Ghalebi, H Mahyar, R Grosu, GW Taylor, SA Williamson
arXiv preprint arXiv:1910.05098v2, 2019
3*2019
Sequential Edge Clustering in Temporal Multigraphs
E Ghalebi, H Mahyar, R Grosu, GW Taylor, SA Williamson
arXiv preprint arXiv:1905.11724, 2019
22019
Cyber-physical Systems
R Grosu, M Lechner, H Isakovic, E Ghalebi, L Berducci, A Brunnbauer, ...
Vienna: Vienna Technical University, 2015
22015
DeepWafer: A Generative Wafermap Model with Deep Adversarial Networks
H Mahyar, P Tulala, E Ghalebi, R Grosu
2022 21st IEEE International Conference on Machine Learning and Applications …, 2022
12022
A compressive sensing framework for distributed detection of high closeness centrality nodes in networks
H Mahyar, R Hasheminezhad, E Ghalebi, R Grosu, HE Stanley
Complex Networks and Their Applications VII: Volume 2 Proceedings The 7th …, 2019
12019
Modeling and analysis of time-evolving sparse networks
E Ghalebi
Technische Universität Wien, 2020
2020
A Deep Variational Autoencoder for Spatial Patterns Clustering in Wafemap Measurement Data
H Mahyar, E Ghalebi, R Grosu
2018
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Cikkek 1–20