| Cone-align: Consistent network alignment with proximity-preserving node embedding X Chen, M Heimann, F Vahedian, D Koutra Proceedings of the 29th ACM International Conference on Information …, 2020 | 48 | 2020 |
| Hybrid recommendation in heterogeneous networks R Burke, F Vahedian, B Mobasher User Modeling, Adaptation, and Personalization: 22nd International …, 2014 | 38 | 2014 |
| Heterogeneous network approach to predict individuals’ mental health S Liu, F Vahedian, D Hachen, O Lizardo, C Poellabauer, A Striegel, ... ACM Transactions on Knowledge Discovery from Data (TKDD) 15 (2), 1-26, 2021 | 19 | 2021 |
| Weighted random walk sampling for multi-relational recommendation F Vahedian, R Burke, B Mobasher Proceedings of the 25th conference on user modeling, adaptation and …, 2017 | 18 | 2017 |
| Multirelational recommendation in heterogeneous networks F Vahedian, R Burke, B Mobasher ACM Transactions on the Web (TWEB) 11 (3), 1-34, 2017 | 13 | 2017 |
| Weighted hybrid recommendation for heterogeneous networks F Vahedian Proceedings of the 8th ACM Conference on Recommender systems, 429-432, 2014 | 13 | 2014 |
| Refining network alignment to improve matched neighborhood consistency M Heimann, X Chen, F Vahedian, D Koutra Proceedings of the 2021 SIAM International Conference on Data Mining (SDM …, 2021 | 11 | 2021 |
| Social Web Recommendation using Metapaths. RD Burke, F Vahedian RSWeb@ RecSys, 2013 | 11 | 2013 |
| Weighted Random Walks for Meta-Path Expansion in Heterogeneous Networks. F Vahedian, RD Burke, B Mobasher RecSys Posters, 2016 | 10 | 2016 |
| Meta-Path Selection for Extended Multi-Relational Matrix Factorization F Vahedian, R Burke, B Mobasher Proceedings of the Twenty-Ninth International Florida Artificial …, 2016 | 9 | 2016 |
| Meta-Path Selection for Extended Multi-Relational Matrix Factorization F Vahedian, R Burke, B Mobasher | 9* | |
| Predicting Component Utilities for Linear-Weighted Hybrid Recommendation. F Vahedian, RD Burke RSWeb@ RecSys, 2014 | 7 | 2014 |
| Consistent network alignment via proximity-preserving node embedding X Chen, M Heimann, F Vahedian, D Koutra arXiv preprint arXiv:2005.04725, 2020 | 5 | 2020 |
| Consistent network alignment with node embedding X Chen, M Heimann, F Vahedian, D Koutra arXiv preprint arXiv:2005.04725, 2020 | 5 | 2020 |
| Network-Based Extension of Multi-Relational Factorization Models. F Vahedian, RD Burke, B Mobasher RecSys Posters, 2015 | 5 | 2015 |
| Leveraging the graph structure of neural network training dynamics F Vahedian, R Li, P Trivedi, D Jin, D Koutra Proceedings of the 31st ACM International Conference on Information …, 2022 | 2 | 2022 |
| Convolutional neural network dynamics: A graph perspective F Vahedian, R Li, P Trivedi, D Jin, D Koutra | 2 | 2021 |
| Abstract: Recommender System Framework for Heterogeneous Networks F Vahedian http://josquin.cti.depaul.edu/fv/document.pdf, 2016 | | 2016 |
| Abstract: Recommendation using Extended Paths in Complex Networks R Burke, F Vahedian 3th IJCAI Workshop on Heterogeneous Information Network Analysis (HINA), 2015 | | 2015 |
Robin BurkeUniversity of Colorado, BoulderVerified email at colorado.edu
