| Sambaten: Sampling-based batch incremental tensor decomposition E Gujral, R Pasricha, EE Papalexakis Proceedings of the 2018 SIAM International Conference on Data Mining, 387-395, 2018 | 44 | 2018 |
| Smacd: Semi-supervised multi-aspect community detection E Gujral, EE Papalexakis Proceedings of the 2018 SIAM International Conference on Data Mining, 702-710, 2018 | 32 | 2018 |
| Larc: Learning activity-regularized overlapping communities across time A Gorovits, E Gujral, EE Papalexakis, P Bogdanov Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018 | 29 | 2018 |
| Identifying and alleviating concept drift in streaming tensor decomposition R Pasricha, E Gujral, EE Papalexakis Machine Learning and Knowledge Discovery in Databases: European Conference …, 2019 | 25 | 2019 |
| Beyond rank-1: Discovering rich community structure in multi-aspect graphs E Gujral, R Pasricha, E Papalexakis Proceedings of The Web Conference 2020, 452-462, 2020 | 16 | 2020 |
| t-pine: Tensor-based predictable and interpretable node embeddings S Al-Sayouri, E Gujral, D Koutra, EE Papalexakis, SS Lam Social Network Analysis and Mining 10, 1-11, 2020 | 12 | 2020 |
| OnlineBTD: Streaming algorithms to track the block term decomposition of large tensors E Gujral, EE Papalexakis 2020 IEEE 7th International Conference on Data Science and Advanced …, 2020 | 11 | 2020 |
| SPADE: Streaming PARAFAC2 DEcomposition for Large Datasets E Gujral, G Theocharous, EE Papalexakis Proceedings of the 2020 SIAM International Conference on Data Mining, 577-585, 2020 | 10 | 2020 |
| Octen: Online compression-based tensor decomposition E Gujral, R Pasricha, T Yang, EE Papalexakis 2019 IEEE 8th International Workshop on Computational Advances in Multi …, 2019 | 8 | 2019 |
| Hacd: Hierarchical agglomerative community detection in social networks E Gujral, EE Papalexakis, G Theocharous, A Rao 2019 IEEE 29th International Workshop on Machine Learning for Signal …, 2019 | 7 | 2019 |
| Adaptive granularity in time evolving graphs as tensors R Pasricha, E Gujral, EP Evangelos Ratio 20 (40), 60, 2020 | 6 | 2020 |
| Adaptive granularity in tensors: A quest for interpretable structure RS Pasricha, E Gujral, EE Papalexakis Frontiers in Big Data 5, 929511, 2022 | 5 | 2022 |
| LTE Evolution towards Carrier Aggregation (LTE-advanced) E Gujral, JS Jadon Journal of Telecommunications System & Management 5 (1), 2016 | 5 | 2016 |
| t-PNE: tensor-based predictable node embeddings SA Al-Sayouri, E Gujral, D Koutra, EE Papalexakis, SS Lam 2018 IEEE/ACM International Conference on Advances in Social Networks …, 2018 | 4 | 2018 |
| Mining bursty groups from interaction data A Gorovits, L Zhang, E Gujral, E Papalexakis, P Bogdanov Proceedings of the 30th ACM International Conference on Information …, 2021 | 3 | 2021 |
| CAPTION: Constrained Coupled CP And PARAFAC2 Tensor Decomposition E Gujral, G Theocharous, EE Papalexakis 2020 IEEE/ACM International Conference on Advances in Social Networks …, 2020 | 3 | 2020 |
| Modeling and Mining Multi-Aspect Graphs With Scalable Streaming Tensor Decomposition E Gujral https://arxiv.org/abs/2210.04404, 2022 | 2 | 2022 |
| Robust pci planning for long term evolution technology ME Gujral EE Times, 2013 | 2 | 2013 |
| Survey: Anomaly Detection Methods E Gujral http://www.cs.ucr.edu/~egujr001/ucr/madlab/publication …, 2023 | 1 | 2023 |
| APTERA: Automatic PARAFAC2 Tensor Analysis E Gujral, EE Papalexakis 2022 IEEE/ACM International Conference on Advances in Social Networks …, 2022 | 1 | 2022 |
Evangelos E. PapalexakisAssociate Professor, University of California RiversideVerified email at cs.ucr.edu
