Nesreen K. Ahmed

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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
Ameer Haj-AliEntrepreneur, PhD EECS UC BerkeleyVerified email at berkeley.edu
Ali JannesariAssociate Professor, Iowa State UniversityVerified email at iastate.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
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
Niranjan HasabnisPrincipal Research Scientist, Code MetalVerified email at codemetal.ai
Gal OrenVisiting Scholar, Stanford | Assistant Professor of CS, TechnionVerified email at stanford.edu
Le ChenIowa State UniversityVerified email at iastate.edu
Mohammad Al HasanProfessor of Computer Science, IUPUI, IN, USAVerified email at iupui.edu
Christos FaloutsosCMUVerified email at cs.cmu.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	2955	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	1120	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	651	2018
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	328	2019
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	327	2021
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	326	2013
Efficient graphlet counting for large networks NK Ahmed, J Neville, RA Rossi, N Duffield IEEE International Conference on Data Mining, 1-10, 2015	318	2015
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	311	2023
Role discovery in networks RA Rossi, NK Ahmed IEEE Transactions on Knowledge and Data Engineering 27 (4), 1112-1131, 2015	280	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	183	2014
Temporal Network Representation Learning JB Lee, G Nguyen, RA Rossi, NK Ahmed, E Koh, S Kim arXiv preprint arXiv:1904.06449, 2019	140	2019
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	127	2021
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	124*	2019
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	122	2020
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	121	2017
Learning role-based graph embeddings NK Ahmed, R Rossi, JB Lee, TL Willke, R Zhou, X Kong, H Eldardiry Proceedings of IJCAI, 2018	120*	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	112*	2020
Higher-Order Network Representation Learning RA Rossi, NK Ahmed, E Koh Proceedings of the Web Conference (WWW), 2018	107	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	106	2017
Deep graph similarity learning: A survey G Ma, NK Ahmed, TL Willke, SY Philip Data Mining and Knowledge Discovery, 1-38, 2021	102	2021

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