Nesreen K. Ahmed

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Ryan A. RossiAdobe ResearchVerified email at adobe.com
Jennifer NevilleMicrosoft Research, Purdue UniversityVerified email at microsoft.com
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
Danai KoutraUniversity of Michigan, Ann ArborVerified email at umich.edu
Ameer Haj-AliEngineering manager @ Anyscale, Ph.D., Electrical Engineering and Computer Science, UC BerkeleyVerified email at berkeley.edu
Krste AsanovicUC BerkeleyVerified email at berkeley.edu
Ion StoicaProfessor of Computer Science, UC BerkeleyVerified email at cs.berkeley.edu
Philip S. YuProfessor of Computer Science, University of Illinons at ChicagoVerified email at cs.uic.edu
Mohammad Al HasanProfessor of Computer Science, IUPUI, IN, USAVerified email at iupui.edu
Namyong ParkMeta AIVerified email at meta.com
George KarypisDistinguished McKnight University Professor, University of Minnesota; SPS, AWSVerified email at umn.edu
Ancy TomPhD student, University of MinnesotaVerified email at umn.edu
Yao XiaoUniversity of Southern CaliforniaVerified email at usc.edu
Shahin NazarianUniversity of Southern California, Professor of Electrical and Computer Engineering PracticeVerified email at usc.edu
Paul BogdanAssociate Professor, University of Southern CaliforniaVerified email at usc.edu
Michael W. ColeAssociate Professor of Neuroscience, Rutgers UniversityVerified email at rutgers.edu

Nesreen K. Ahmed

Other namesNesreen Ahmed

Computer Scientist, Intel AI Research, Purdue University

Verified email at intel.com - Homepage

Geometric Deep Learning Statistical Relational Learning Graph Representation Learning ML for


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	2290	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	951	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	531	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	302	2013
Efficient graphlet counting for large networks NK Ahmed, J Neville, RA Rossi, N Duffield IEEE International Conference on Data Mining, 1-10, 2015	286	2015
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	283	2019
Role discovery in networks RA Rossi, NK Ahmed IEEE Transactions on Knowledge and Data Engineering 27 (4), 1112-1131, 2015	263	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	257	2011
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	219	2013
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	208	2021
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	171	2014
Temporal Network Representation Learning JB Lee, G Nguyen, RA Rossi, NK Ahmed, E Koh, S Kim arXiv preprint arXiv:1904.06449, 2019	134	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	114	2017
Learning role-based graph embeddings NK Ahmed, R Rossi, JB Lee, TL Willke, R Zhou, X Kong, H Eldardiry Proceedings of IJCAI, 2018	112*	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	104*	2019
On sampling from massive graph streams NK Ahmed, N Duffield, TL Willke, RA Rossi Proceedings of the VLDB Endowment 10 (11), 1430-1441, 2017	102	2017
Higher-Order Network Representation Learning RA Rossi, NK Ahmed, E Koh Proceedings of the Web Conference (WWW), 2018	95	2018
NeuroVectorizer: End-to-End Vectorization with Deep Reinforcement Learning A Haj-Ali, NK Ahmed, T Willke, S Shao, K Asanovic, I Stoica CGO 2020: Proc. of the International Symposium on Code Generation and …, 2020	94	2020
An interactive data repository with visual analytics RA Rossi, NK Ahmed ACM SIGKDD Explorations Newsletter 17 (2), 37-41, 2016	85	2016
DistGNN: Scalable Distributed Training for Large-Scale Graph Neural Networks V Md, S Misra, G Ma, R Mohanty, E Georganas, A Heinecke, D Kalamkar, ... SC '21: Proceedings of the International Conference for High Performance …, 2021	81	2021

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