Nesreen K. Ahmed

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Ryan A. RossiAdobe ResearchVerified email at adobe.com
Jennifer NevilleMicrosoft Research, Purdue UniversityVerified email at microsoft.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
Danai KoutraUniversity of Michigan, Ann ArborVerified email at umich.edu
Xiangnan KongWorcester Polytechnic InstituteVerified email at wpi.edu
Amir AtiyaCairo UniversityVerified email at alumni.caltech.edu
Namyong ParkMeta AIVerified email at meta.com
Ali JannesariAssociate Professor, Iowa State UniversityVerified email at iastate.edu
Paul BogdanAssociate Professor, University of Southern CaliforniaVerified email at usc.edu
Ameer Haj-AliEntrepreneur, PhD EECS UC BerkeleyVerified email at berkeley.edu
Niranjan HasabnisPrincipal Research Scientist, Code MetalVerified email at codemetal.ai
Shahin NazarianUniversity of Southern California, Professor of Electrical and Computer Engineering PracticeVerified email at usc.edu
Gal OrenVisiting Scholar, Stanford | Assistant Professor of CS, TechnionVerified email at stanford.edu
Krste AsanovicUC BerkeleyVerified email at berkeley.edu
Ion StoicaProfessor of Computer Science, UC BerkeleyVerified email at cs.berkeley.edu
Le ChenArgonne National LaboratoryVerified email at anl.gov
Philip S. YuProfessor of Computer Science, University of Illinons at ChicagoVerified email at cs.uic.edu
Isabel O. GallegosPhD Student at Stanford UniversityVerified email at stanford.edu
Quazi Ishtiaque MahmudPhD Student at Iowa State UniversityVerified email at sust.edu

Nesreen K. Ahmed

Other namesNesreen Ahmed

Principal Scientist, Cisco AI Research, Intel Labs, Purdue University

Verified email at cisco.com - Homepage

Geometric Deep Learning Graph Representation Learning ML for Systems ML4code


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	3139	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	1157	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	675	2018
Bias and fairness in large language models: A survey IO Gallegos, RA Rossi, J Barrow, MM Tanjim, S Kim, F Dernoncourt, T Yu, ... arXiv preprint arXiv:2309.00770, 2023	506	2023
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	349	2021
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	343	2019
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	328	2013
Efficient graphlet counting for large networks NK Ahmed, J Neville, RA Rossi, N Duffield IEEE International Conference on Data Mining, 1-10, 2015	327	2015
Role discovery in networks RA Rossi, NK Ahmed IEEE Transactions on Knowledge and Data Engineering 27 (4), 1112-1131, 2015	277	2015
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	184	2014
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	144	2021
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	131	2020
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	126*	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	125	2017
Learning role-based graph embeddings NK Ahmed, R Rossi, JB Lee, TL Willke, R Zhou, X Kong, H Eldardiry Proceedings of IJCAI, 2018	122*	2018
Role-based Graph Embeddings NK Ahmed, RA Rossi, JB Lee, TL Willke, R Zhou, X Kong, H Eldardiry IEEE Transactions on Knowledge and Data Engineering, 2020	117*	2020
Higher-Order Network Representation Learning RA Rossi, NK Ahmed, E Koh Proceedings of the Web Conference (WWW), 2018	111	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	107	2017
Deep graph similarity learning: A survey G Ma, NK Ahmed, TL Willke, SY Philip Data Mining and Knowledge Discovery, 1-38, 2021	103	2021
Deep Inductive Graph Representation Learning RA Rossi, R Zhou, N Ahmed IEEE Transactions on Knowledge and Data Engineering, 2018	92	2018

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