Nesreen 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
John Boaz LeeResearch Scientist, FacebookVerified email at fb.com
Nick DuffieldDirector, Texas A&M Institute of Data Science; Royce E. Wisenbaker Professorship I in ECEVerified email at ece.tamu.edu
Ramana KOMPELLACisco Systems, Google Inc, Purdue UniversityVerified email at cisco.com
Amir AtiyaCairo UniversityVerified email at alumni.caltech.edu
Xiangnan KongWorcester Polytechnic InstituteVerified email at wpi.edu
Krste AsanovicUC BerkeleyVerified email at berkeley.edu
Ion StoicaProfessor of Computer Science, UC BerkeleyVerified email at cs.berkeley.edu
Ameer Haj-AliEngineering manager @ Anyscale, Ph.D., Electrical Engineering and Computer Science, UC BerkeleyVerified email at berkeley.edu
Danai KoutraUniversity of Michigan, Ann ArborVerified email at umich.edu
Mohammad Al HasanProfessor of Computer Science, IUPUI, IN, USAVerified email at iupui.edu
Philip S. YuProfessor of Computer Science, University of Illinons at ChicagoVerified email at cs.uic.edu
George KarypisDistinguished McKnight University Professor, CS&E, University of MinnesotaVerified email at umn.edu
Ancy TomPhD student, University of MinnesotaVerified email at umn.edu
Shaden SmithSenior Research SDE, MicrosoftVerified email at microsoft.com
Di JinPhD from Computer Science & Engineering, University of Michigan, Ann ArborVerified email at umich.edu
Jonathan D. CohenProfessor of Psychology, Co-Director of Princeton Neuroscience Institute, Princeton UniversityVerified email at princeton.edu
Biswadip DeyStaff Research Scientist, Siemens Corporate TechnologyVerified email at siemens.com
Kayhan OzcimderAssociate Research Scholar, Princeton UniversityVerified email at princeton.edu

Nesreen Ahmed

Principal Scientist, Intel AI Research

Verified email at intel.com - Homepage

Statistical Relational Learning Geometric Deep Learning Graph Representation Learning ML for Systems Systems for ML


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 Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015	1565	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	747	2010
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	322	2018
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	267	2013
Efficient graphlet counting for large networks NK Ahmed, J Neville, RA Rossi, N Duffield IEEE International Conference on Data Mining, 1-10, 2015	236	2015
Role discovery in networks RA Rossi, NK Ahmed IEEE Transactions on Knowledge and Data Engineering 27 (4), 1112-1131, 2015	227	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	221	2011
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	208	2019
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	196	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	153	2014
Temporal Network Representation Learning JB Lee, G Nguyen, RA Rossi, NK Ahmed, E Koh, S Kim arXiv preprint arXiv:1904.06449, 2019	116	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	95	2017
Learning role-based graph embeddings NK Ahmed, R Rossi, JB Lee, TL Willke, R Zhou, X Kong, H Eldardiry Proceedings of IJCAI, 2018	92*	2018
On sampling from massive graph streams NK Ahmed, N Duffield, TL Willke, RA Rossi Proceedings of the VLDB Endowment 10 (11), 1430-1441, 2017	85	2017
Higher-Order Network Representation Learning RA Rossi, NK Ahmed, E Koh Proceedings of the Web Conference (WWW), 2018	71	2018
On Proximity and Structural Role-based Embeddings in Networks: Misconceptions, Techniques, and Applications RA Rossi, D Jin, S Kim, NK Ahmed, D Koutra, JB Lee arXiv preprint arXiv:1908.08572, 2019	70*	2019
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	65	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	63	2010
An interactive data repository with visual analytics RA Rossi, NK Ahmed ACM SIGKDD Explorations Newsletter 17 (2), 37-41, 2016	61	2016
Graph neural networks with heterophily J Zhu, RA Rossi, A Rao, T Mai, N Lipka, NK Ahmed, D Koutra Proceedings of the AAAI Conference on Artificial Intelligence, 2021	60	2021

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