| Tensor decomposition for signal processing and machine learning ND Sidiropoulos, L De Lathauwer, X Fu, K Huang, EE Papalexakis, ... IEEE Transactions on signal processing 65 (13), 3551-3582, 2017 | 1580 | 2017 |
| Tensors for data mining and data fusion: Models, applications, and scalable algorithms EE Papalexakis, C Faloutsos, ND Sidiropoulos ACM Transactions on Intelligent Systems and Technology (TIST) 8 (2), 1-44, 2016 | 449 | 2016 |
| Gigatensor: scaling tensor analysis up by 100 times-algorithms and discoveries U Kang, E Papalexakis, A Harpale, C Faloutsos Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012 | 362 | 2012 |
| All you need is low (rank) defending against adversarial attacks on graphs N Entezari, SA Al-Sayouri, A Darvishzadeh, EE Papalexakis Proceedings of the 13th international conference on web search and data …, 2020 | 295 | 2020 |
| ParCube: Sparse Parallelizable Tensor Decompositions EE Papalexakis, C Faloutsos, ND Sidiropoulos | 242 | 2012 |
| From K-means to higher-way co-clustering: multilinear decomposition with sparse latent factors EE Papalexakis, ND Sidiropoulos, R Bro IEEE Transactions on Signal Processing, 2013 | 180 | 2013 |
| HaTen2: Billion-scale Tensor Decompositions I Jeon, EE Papalexakis, U Kang, C Faloutsos IEEE ICDE 2015, 2015 | 179 | 2015 |
| NetSpot: Spotting Significant Anomalous Regions on Dynamic Networks M Mongiovı, P Bogdanov, R Ranca, EE Papalexakis, C Faloutsos, ... | 158 | 2013 |
| Do more Views of a Graph help? Community Detection and Clustering in Multi-Graphs EE Papalexakis, L Akoglu, D Ienco 16th International Conference on Information Fusion, 2013 | 145 | 2013 |
| FLEXIFACT: Scalable Flexible Factorization of Coupled Tensors on Hadoop A Beutel, A Kumar, E Papalexakis, PP Talukdar, C Faloutsos, EP Xing NIPS 2013 Big Learning Workshop, 2013 | 138 | 2013 |
| Structure-revealing data fusion E Acar, EE Papalexakis, G Gürdeniz, MA Rasmussen, AJ Lawaetz, ... BMC bioinformatics 15, 1-17, 2014 | 136 | 2014 |
| Com2: Fast Automatic Discovery of Temporal (’Comet’) Communities M Araujo, S Papadimitriou, S Günnemann, C Faloutsos, P Basu, A Swami, ... PAKDD 2014, 2014 | 135 | 2014 |
| Open data from the third observing run of LIGO, Virgo, KAGRA and GEO R Abbott, H Abe, F Acernese, K Ackley, S Adhicary, N Adhikari, ... arXiv preprint arXiv:2302.03676, 2023 | 124 | 2023 |
| Semi-supervised content-based detection of misinformation via tensor embeddings GB Guacho, S Abdali, N Shah, EE Papalexakis 2018 IEEE/ACM international conference on advances in social networks …, 2018 | 124 | 2018 |
| Unsupervised content-based identification of fake news articles with tensor decomposition ensembles S Hosseinimotlagh, EE Papalexakis Proceedings of the Workshop on Misinformation and Misbehavior Mining on the …, 2018 | 119 | 2018 |
| SPARTan: Scalable PARAFAC2 for large & sparse data I Perros, EE Papalexakis, F Wang, R Vuduc, E Searles, M Thompson, ... Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017 | 89 | 2017 |
| Webly supervised joint embedding for cross-modal image-text retrieval NC Mithun, R Panda, EE Papalexakis, AK Roy-Chowdhury Proceedings of the 26th ACM international conference on Multimedia, 1856-1864, 2018 | 88 | 2018 |
| Parallel randomly compressed cubes: A scalable distributed architecture for big tensor decomposition ND Sidiropoulos, EE Papalexakis, C Faloutsos IEEE Signal Processing Magazine 31 (5), 57-70, 2014 | 82 | 2014 |
| TENSORSPLAT: Spotting Latent Anomalies in Time D Koutra, EE Papalexakis, C Faloutsos | 78 | 2012 |
| Network Anomaly Detection using Co-clustering EE Papalexakis, A Beutel, P Steenkiste | 72 | 2012 |
Christos FaloutsosCMU在 cs.cmu.edu 的电子邮件经过验证
