| GDTM: graph-based dynamic topic models K Ghoorchian, M Sahlgren Progress in Artificial Intelligence 9 (3), 195-207, 2020 | 6 | 2020 |
| DeGPar: Large Scale Topic Detection using Node-Cut Partitioning on Dense Weighted Graphs K Ghoorchian, S Girdzijauskas, F Rahimian The 37th IEEE International Conference on Distributed Computing Systems, 2017 | 6 | 2017 |
| Spatio-Temporal Multiple Geo-Location Identification on Twitter K Ghoorchian, S Girdzijauskas The 3rd International Workshop on Big Spatial Data in Conjunction with IEEE …, 2018 | 3 | 2018 |
| Semi-Supervised Multiple Disambiguation K Ghoorchian, F Rahimian, S Girdzijauskas The 9th IEEE International Conference on Big Data Science and Engineering …, 2015 | 2 | 2015 |
| An Efficient Graph-Based Model for Learning Representations K Ghoorchian, M Sahlgren, M Boman | 1 | 2020 |
| Graph Algorithms for Large-Scale and Dynamic Natural Language Processing K Ghoorchian KTH Royal Institute of Technology, 2019 | | 2019 |
| ISOCIAL: DECENTRALIZED ONLINE SOCIAL NETWORKS S Antaris, MA Nasir, A Karakasidis, G Simoni, MH Tabor, L Naeimeh, ... | | 2017 |
| Large Scale Topic Detection using Node-Cut Partitioning on Dense Weighted-Graphs K Ghoorchian, Š Girdzijauskas | | 2016 |
| Distributed Activity based Sybil Identification over Decentralized Online Social Networks K Ghoorchian, N Laleh The Workshop on Online Social Networks: Emerging Trends, 2014 | | 2014 |
| ICDCS 2017 A Babay, E Wagner, M Dinitz, Y Amir | | |
Sarunas GirdzijauskasRoyal Institute of Technology (KTH), SwedenVerified email at kth.se
