| Community structure and scale-free collections of Erdős-Rényi graphs C Seshadhri, TG Kolda, A Pinar Physical Review E 85 (5), 056109, 2012 | 264 | 2012 |
| Vertex neighborhoods, low conductance cuts, and good seeds for local community methods DF Gleich, C Seshadhri Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012 | 212 | 2012 |
| Efficient learning algorithms for changing environments E Hazan, C Seshadhri Proceedings of the 26th Annual International Conference on Machine Learning …, 2009 | 183* | 2009 |
| A space-efficient streaming algorithm for estimating transitivity and triangle counts using the birthday paradox M Jha, C Seshadhri, A Pinar ACM Transactions on Knowledge Discovery from Data (TKDD) 9 (3), 1-21, 2015 | 178* | 2015 |
| Wedge sampling for computing clustering coefficients and triangle counts on large graphs† C Seshadhri, A Pinar, TG Kolda Statistical Analysis and Data Mining: The ASA Data Science Journal 7 (4 …, 2014 | 156* | 2014 |
| A scalable generative graph model with community structure TG Kolda, A Pinar, T Plantenga, C Seshadhri SIAM Journal on Scientific Computing 36 (5), C424-C452, 2014 | 139 | 2014 |
| Path sampling: A fast and provable method for estimating 4-vertex subgraph counts M Jha, C Seshadhri, A Pinar Proceedings of the 24th international conference on world wide web, 495-505, 2015 | 108 | 2015 |
| Estimating the distance to a monotone function N Ailon, B Chazelle, S Comandur, D Liu Random Structures & Algorithms 31 (3), 371-383, 2007 | 106 | 2007 |
| Escape: Efficiently counting all 5-vertex subgraphs A Pinar, C Seshadhri, V Vishal Proceedings of the 26th international conference on world wide web, 1431-1440, 2017 | 96 | 2017 |
| Approximately counting triangles in sublinear time T Eden, A Levi, D Ron, C Seshadhri SIAM Journal on Computing 46 (5), 1603-1646, 2017 | 92 | 2017 |
| Finding the hierarchy of dense subgraphs using nucleus decompositions AE Sariyuce, C Seshadhri, A Pinar, UV Catalyurek Proceedings of the 24th International Conference on World Wide Web, 927-937, 2015 | 89 | 2015 |
| An o(n) Monotonicity Tester for Boolean Functions over the Hypercube D Chakrabarty, C Seshadhri SIAM Journal on Computing 45 (2), 461-472, 2016 | 86 | 2016 |
| Fast-ppr: Scaling personalized pagerank estimation for large graphs PA Lofgren, S Banerjee, A Goel, C Seshadhri Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014 | 85 | 2014 |
| Counting triangles in massive graphs with MapReduce TG Kolda, A Pinar, T Plantenga, C Seshadhri, C Task SIAM Journal on Scientific Computing 36 (5), S48-S77, 2014 | 76 | 2014 |
| Optimal bounds for monotonicity and Lipschitz testing over hypercubes and hypergrids D Chakrabarty, C Seshadhri Proceedings of the forty-fifth annual ACM symposium on Theory of computing …, 2013 | 74 | 2013 |
| Blackbox identity testing for bounded top-fanin depth-3 circuits: The field doesn't matter N Saxena, C Seshadhri SIAM Journal on Computing 41 (5), 1285-1298, 2012 | 61 | 2012 |
| An in-depth study of stochastic Kronecker graphs C Seshadhri, A Pinar, TG Kolda 2011 IEEE 11th International Conference on Data Mining, 587-596, 2011 | 61 | 2011 |
| An expansion tester for bounded degree graphs S Kale, C Seshadhri SIAM Journal on Computing 40 (3), 709-720, 2011 | 60* | 2011 |
| Local monotonicity reconstruction M Saks, C Seshadhri SIAM Journal on Computing 39 (7), 2897-2926, 2010 | 60* | 2010 |
| A fast and provable method for estimating clique counts using turán's theorem S Jain, C Seshadhri Proceedings of the 26th international conference on world wide web, 441-449, 2017 | 57 | 2017 |
