Deepayan Chakrabarti, Ph.D.
Affiliations: | 2005 | Carnegie Mellon University, Pittsburgh, PA |
Area:
Computer ScienceGoogle:
"Deepayan Chakrabarti"Parents
Sign in to add mentor| Christos Faloutsos | grad student | 2005 | Carnegie Mellon | |
| (Tools for large graph mining.) | ||||
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Publications
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| Mao X, Sarkar P, Chakrabarti D. (2020) Estimating Mixed Memberships With Sharp Eigenvector Deviations Journal of the American Statistical Association. 1-13 |
| Chakrabarti D. (2017) Modeling node incentives in directed networks The Annals of Applied Statistics. 11: 2298-2331 |
| Sarkar P, Chakrabarti D, Jordan M. (2014) Nonparametric link prediction in large scale dynamic networks Electronic Journal of Statistics. 2022-2065 |
| Prakash BA, Chakrabarti D, Valler NC, et al. (2012) Threshold conditions for arbitrary cascade models on arbitrary networks Knowledge and Information Systems. 33: 549-575 |
| Chakrabarti D, Wang Y, Wang C, et al. (2008) Epidemic thresholds in real networks Acm Transactions On Information and System Security. 10: 1-26 |
| Chakrabarti D, Faloutsos C, Zhan Y. (2007) Visualization of large networks with min-cut plots, A-plots and R-MAT International Journal of Human-Computer Studies. 65: 434-445 |
| Chakrabarti D, Faloutsos C. (2006) Graph mining Acm Computing Surveys. 38: 2 |
| Sun J, Qu H, Chakrabarti D, et al. (2005) Relevance search and anomaly detection in bipartite graphs Acm Sigkdd Explorations Newsletter. 7: 48-55 |