One trillion edges: graph processing at Facebook-scale A Ching, S Edunov, M Kabiljo, D Logothetis, S Muthukrishnan Proceedings of the VLDB Endowment 8 (12), 1804-1815, 2015 | 578 | 2015 |
Stateful bulk processing for incremental analytics D Logothetis, C Olston, B Reed, KC Webb, K Yocum Proceedings of the 1st ACM symposium on Cloud computing, 51-62, 2010 | 199 | 2010 |
Integro: Leveraging Victim Prediction for Robust Fake Account Detection in OSNs. Y Boshmaf, D Logothetis, G Siganos, J Lería, J Lorenzo, M Ripeanu, ... NDSS 15, 8-11, 2015 | 180 | 2015 |
In-situ {MapReduce} for Log Processing D Logothetis, C Trezzo, KC Webb, K Yocum 2011 USENIX Annual Technical Conference (USENIX ATC 11), 2011 | 117 | 2011 |
Spinner: Scalable graph partitioning in the cloud C Martella, D Logothetis, A Loukas, G Siganos 2017 IEEE 33rd International Conference on Data Engineering (ICDE), 1083-1094, 2017 | 110 | 2017 |
Íntegro: Leveraging victim prediction for robust fake account detection in large scale OSNs Y Boshmaf, D Logothetis, G Siganos, J Lería, J Lorenzo, M Ripeanu, ... Computers & Security 61, 142-168, 2016 | 101 | 2016 |
Ad-hoc data processing in the cloud D Logothetis, K Yocum Proceedings of the VLDB Endowment 1 (2), 1472-1475, 2008 | 98 | 2008 |
Adaptive partitioning for large-scale dynamic graphs L Vaquero, F Cuadrado, D Logothetis, C Martella Proceedings of the 4th annual Symposium on Cloud Computing, 1-2, 2013 | 92 | 2013 |
Facilitating real-time graph mining Z Cai, D Logothetis, G Siganos Proceedings of the fourth international workshop on Cloud data management, 1-8, 2012 | 79 | 2012 |
Method and system for predicting victim users and detecting fake user accounts in online social networks Y Boshmaf, D Logothetis, G Siganos US Patent App. 14/140,965, 2015 | 70 | 2015 |
Efficient resource description and high quality selection for virtual grids YS Kee, D Logothetis, R Huang, H Casanova, AA Chien CCGrid 2005. IEEE International Symposium on Cluster Computing and the Grid …, 2005 | 69 | 2005 |
Scalable lineage capture for debugging disc analytics D Logothetis, S De, K Yocum Proceedings of the 4th annual Symposium on Cloud Computing, 1-15, 2013 | 66 | 2013 |
xDGP: A dynamic graph processing system with adaptive partitioning L Vaquero, F Cuadrado, D Logothetis, C Martella arXiv preprint arXiv:1309.1049, 2013 | 46 | 2013 |
The shortest path is not always a straight line: leveraging semi-metricity in graph analysis V Kalavri, T Simas, D Logothetis Proceedings of the VLDB Endowment 9 (9), 672-683, 2016 | 31 | 2016 |
{Wide-Scale} Data Stream Management D Logothetis, K Yocum 2008 USENIX Annual Technical Conference (USENIX ATC 08), 2008 | 26 | 2008 |
Darwini: Generating realistic large-scale social graphs S Edunov, D Logothetis, C Wang, A Ching, M Kabiljo arXiv preprint arXiv:1610.00664, 2016 | 23 | 2016 |
Generating synthetic social graphs with Darwini S Edunov, D Logothetis, C Wang, A Ching, M Kabiljo 2018 IEEE 38th International Conference on Distributed Computing Systems …, 2018 | 16 | 2018 |
Method and system of analyzing dynamic graphs D Logothetis, G Siganos US Patent App. 14/141,130, 2015 | 14 | 2015 |
XTreeNet: democratic community search E Curtmola, A Deutsch, D Logothetis, KK Ramakrishnan, D Srivastava, ... Proceedings of the VLDB Endowment 1 (2), 1448-1451, 2008 | 13 | 2008 |
The pairwise gaussian random field for high-dimensional data imputation Z Cai, C Jermaine, Z Vagena, D Logothetis, LL Perez 2013 IEEE 13th International Conference on Data Mining, 61-70, 2013 | 9 | 2013 |