| Recurrent recommender networks CY Wu, A Ahmed, A Beutel, AJ Smola, H Jing Proceedings of the tenth ACM international conference on web search and data …, 2017 | 252 | 2017 |
| Copycatch: stopping group attacks by spotting lockstep behavior in social networks A Beutel, W Xu, V Guruswami, C Palow, C Faloutsos Proceedings of the 22nd international conference on World Wide Web, 119-130, 2013 | 251 | 2013 |
| The case for learned index structures T Kraska, A Beutel, EH Chi, J Dean, N Polyzotis Proceedings of the 2018 International Conference on Management of Data, 489-504, 2018 | 192 | 2018 |
| Catchsync: catching synchronized behavior in large directed graphs M Jiang, P Cui, A Beutel, C Faloutsos, S Yang Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014 | 123 | 2014 |
| Winner takes all: competing viruses or ideas on fair-play networks BA Prakash, A Beutel, R Rosenfeld, C Faloutsos Proceedings of the 21st international conference on World Wide Web, 1037-1046, 2012 | 115 | 2012 |
| Fraudar: Bounding graph fraud in the face of camouflage B Hooi, HA Song, A Beutel, N Shah, K Shin, C Faloutsos Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016 | 112 | 2016 |
| Interacting viruses in networks: can both survive? A Beutel, BA Prakash, R Rosenfeld, C Faloutsos Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012 | 104 | 2012 |
| FlexiFaCT: Scalable Flexible Factorization of Coupled Tensors on Hadoop A Beutel, A Kumar, EE Papalexakis, PP Talukdar, C Faloutsos, EP Xing SDM 2, 521-536, 2014 | 92 | 2014 |
| Data decisions and theoretical implications when adversarially learning fair representations A Beutel, J Chen, Z Zhao, EH Chi arXiv preprint arXiv:1707.00075, 2017 | 82 | 2017 |
| Latent Cross: Making Use of Context in Recurrent Recommender Systems A Beutel, P Covington, S Jain, C Xu, J Li, V Gatto, EH Chi Proceedings of the Eleventh ACM International Conference on Web Search and …, 2018 | 80 | 2018 |
| Inferring strange behavior from connectivity pattern in social networks M Jiang, P Cui, A Beutel, C Faloutsos, S Yang Pacific-Asia Conference on Knowledge Discovery and Data Mining, 126-138, 2014 | 69 | 2014 |
| Spotting suspicious link behavior with fbox: An adversarial perspective N Shah, A Beutel, B Gallagher, C Faloutsos 2014 IEEE International Conference on Data Mining, 959-964, 2014 | 65 | 2014 |
| Birdnest: Bayesian inference for ratings-fraud detection B Hooi, N Shah, A Beutel, S Günnemann, L Akoglu, M Kumar, D Makhija, ... Proceedings of the 2016 SIAM International Conference on Data Mining, 495-503, 2016 | 64 | 2016 |
| A General Suspiciousness Metric for Dense Blocks in Multimodal Data M Jiang, A Beutel, P Cui, B Hooi, S Yang, C Faloutsos Proceedings of IEEE International Conference on Data Mining (ICDM), 2015 | 62 | 2015 |
| CoBaFi: Collaborative Bayesian Filtering A Beutel, K Murray, C Faloutsos, AJ Smola Proceedings of the 23rd international conference on World wide web, 97-108, 2014 | 51 | 2014 |
| Network anomaly detection using co-clustering EE Papalexakis, A Beutel, P Steenkiste 2012 IEEE/ACM International Conference on Advances in Social Networks …, 2012 | 47 | 2012 |
| Catching synchronized behaviors in large networks: A graph mining approach M Jiang, P Cui, A Beutel, C Faloutsos, S Yang ACM Transactions on Knowledge Discovery from Data (TKDD) 10 (4), 1-27, 2016 | 45 | 2016 |
| Sagedb: A learned database system T Kraska, M Alizadeh, A Beutel, EH Chi, J Ding, A Kristo, G Leclerc, ... | 44 | 2019 |
| ACCAMS: Additive Co-Clustering to Approximate Matrices Succinctly A Beutel, A Ahmed, AJ Smola Proceedings of the 24th International Conference on World Wide Web, 119-129, 2015 | 37 | 2015 |
| Detecting suspicious following behavior in multimillion-node social networks M Jiang, P Cui, A Beutel, C Faloutsos, S Yang Proceedings of the 23rd International Conference on World Wide Web, 305-306, 2014 | 33 | 2014 |
Christos FaloutsosCMUEmail verificata su cs.cmu.edu
