| 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 | 40 | 2017 |
| 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 | 32 | 2018 |
| On evaluation metrics for graph generative models R Thompson, B Knyazev, E Ghalebi, J Kim, GW Taylor arXiv preprint arXiv:2201.09871, 2022 | 30 | 2022 |
| 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 | 30 | 2018 |
| 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 | 24 | 2018 |
| 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 | 23 | 2017 |
| 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 | 21 | 2017 |
| 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 | 18 | 2015 |
| Dynamic network model from partial observations E Ghalebi, B Mirzasoleiman, R Grosu, J Leskovec Advances in Neural Information Processing Systems 31, 2018 | 15 | 2018 |
| Building lego using deep generative models of graphs R Thompson, E Ghalebi, T DeVries, GW Taylor arXiv preprint arXiv:2012.11543, 2020 | 14 | 2020 |
| 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 | 11 | 2015 |
| 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 | 4 | 2017 |
| SMGRL: A scalable multi-resolution graph representation learning framework R Namazi, E Ghalebi, S Williamson, H Mahyar arXiv preprint arXiv:2201.12670, 2022 | 3 | 2022 |
| 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 | 2 | 2019 |
| Cyber-physical Systems R Grosu, M Lechner, H Isakovic, E Ghalebi, L Berducci, A Brunnbauer, ... Vienna: Vienna Technical University, 2015 | 2 | 2015 |
| 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 | 1 | 2019 |
| 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 | | 2022 |
| 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 |
Hamidreza MahyarAssistant Professor, McMaster UniversityBestätigte E-Mail-Adresse bei mcmaster.ca
