Nesreen K. Ahmed

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Ryan A. RossiAdobe ResearchVerified email at adobe.com
Jennifer NevilleProfessor of Computer Science and Statistics, Purdue UniversityVerified email at cs.purdue.edu
Nick DuffieldDirector, Texas A&M Institute of Data Science; Royce E. Wisenbaker Professorship I in ECEVerified email at ece.tamu.edu
John Boaz LeeResearch Scientist, FacebookVerified email at fb.com
Ramana KOMPELLACisco Systems, Google Inc, Purdue UniversityVerified email at cisco.com
Amir AtiyaCairo UniversityVerified email at cu.edu.eg
Xiangnan KongWorcester Polytechnic InstituteVerified email at wpi.edu
Anup B. RaoGeorgia Institute of TechnologyVerified email at gatech.edu
Mohammad Al HasanAssociate Professor of Computer Science, IUPUI, IN, USAVerified email at cs.iupui.edu
Krste AsanovicUC BerkeleyVerified email at berkeley.edu
Ion StoicaProfessor of Computer Science, UC BerkeleyVerified email at cs.berkeley.edu
Ameer Haj-AliPh.D., Electrical Engineering and Computer Science, UC BerkeleyVerified email at berkeley.edu
Danai KoutraUniversity of Michigan, Ann ArborVerified email at umich.edu
Philip S. YuProfessor of Computer Science, University of Illinons at ChicagoVerified email at cs.uic.edu
Shaden SmithSenior Research SDE, MicrosoftVerified email at cs.umn.edu
George KarypisProfessor, Department of Computer Science & Engineering, University of MinnesotaVerified email at umn.edu
Ancy TomPhD student, University of MinnesotaVerified email at umn.edu
Di JinPhD student in Computer Science & Engineering, University of Michigan, Ann ArborVerified email at umich.edu
Michael W. ColeAssociate Professor of Neuroscience, Rutgers UniversityVerified email at rutgers.edu
Nicholas Turk-BrowneYale UniversityVerified email at yale.edu

Nesreen K. Ahmed

Senior Staff Research Scientist, Intel Labs (PhD in CS, Purdue University)

Verified email at intel.com - Homepage

Machine Learning Algorithms Statistical Relational Learning Geometric Deep Learning Graph Representation Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
The network data repository with interactive graph analytics and visualization R Rossi, NK Ahmed Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015	927	2015
An Empirical Comparison of Machine Learning Models for Time Series Forecasting NK Ahmed, AF Atiya, NE Gayar, H El-Shishiny Econometric Reviews 29 (5-6), 594-621, 2010	529	2010
Network sampling: From static to streaming graphs NK Ahmed, J Neville, R Kompella ACM Transactions on Knowledge Discovery from Data (TKDD) 8 (2), 1-56, 2013	229	2013
Role discovery in networks RA Rossi, NK Ahmed IEEE Transactions on Knowledge and Data Engineering 27 (4), 1112-1131, 2015	188	2015
Understanding shape entropy through local dense packing G van Anders, D Klotsa, NK Ahmed, M Engel, SC Glotzer Proceedings of the National Academy of Sciences 111 (45), E4812-E4821, 2011	181	2011
Continuous-time dynamic network embeddings GH Nguyen, JB Lee, RA Rossi, NK Ahmed, E Koh, S Kim Proceedings of the The Web Conference 2018, 969-976, 2018	179	2018
Efficient graphlet counting for large networks NK Ahmed, J Neville, RA Rossi, N Duffield IEEE International Conference on Data Mining, 1-10, 2015	178	2015
Entropically patchy particles: engineering valence through shape entropy G van Anders, NK Ahmed, R Smith, M Engel, SC Glotzer Acs Nano 8 (1), 931-940, 2013	163	2013
Graph sample and hold: A framework for big-graph analytics NK Ahmed, N Duffield, J Neville, R Kompella Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014	143	2014
Attention models in graphs: A survey JB Lee, RA Rossi, S Kim, NK Ahmed, E Koh ACM Transactions on Knowledge Discovery from Data (TKDD) 13 (6), 1-25, 2019	110	2019
Temporal Network Representation Learning JB Lee, G Nguyen, RA Rossi, NK Ahmed, E Koh, S Kim arXiv preprint arXiv:1904.06449, 2019	80	2019
Graphlet decomposition: Framework, algorithms, and applications NK Ahmed, J Neville, RA Rossi, NG Duffield, TL Willke Knowledge and Information Systems 50 (3), 689-722, 2017	79	2017
On sampling from massive graph streams NK Ahmed, N Duffield, TL Willke, RA Rossi Proceedings of the VLDB Endowment 10 (11), 1430-1441, 2017	68	2017
Learning role-based graph embeddings NK Ahmed, R Rossi, JB Lee, TL Willke, R Zhou, X Kong, H Eldardiry Proceedings of IJCAI, 2018	67*	2018
Time-based sampling of social network activity graphs NK Ahmed, F Berchmans, J Neville, R Kompella Proceedings of the eighth workshop on mining and learning with graphs, 1-9, 2010	59	2010
Estimating network degree distributions under sampling: an inverse problem, with applications to monitoring social media networks H Crane, J Abello, A Buchsbaum, J Westbrook, D Achlioptas, A Clauset, ... Probabilistic Foundations of Statistical Network Analysis 9 (1), 1-14, 2018	52	2018
Network sampling via edge-based node selection with graph induction NK Ahmed, J Neville, RR Kompella Purdue University Tech Report 11-016, 2011	48	2011
An interactive data repository with visual analytics RA Rossi, NK Ahmed ACM SIGKDD Explorations Newsletter 17 (2), 37-41, 2016	47	2016
Higher-Order Network Representation Learning RA Rossi, NK Ahmed, E Koh Proceedings of the Web Conference (WWW), 2018	45	2018
An interactive data repository with visual analytics RA Rossi, NK Ahmed ACM SIGKDD Explorations Newsletter 17 (2), 37-41, 2016	45	2016

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