Nesreen K. Ahmed

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John Boaz LeeResearch Scientist, FacebookDirección de correo verificada de fb.com
Jennifer NevilleMicrosoft Research, Purdue UniversityDirección de correo verificada de microsoft.com
Nick DuffieldDirector, Texas A&M Institute of Data Science; Royce E. Wisenbaker Professorship I in ECEDirección de correo verificada de ece.tamu.edu
Ramana KOMPELLACisco Systems, Google Inc, Purdue UniversityDirección de correo verificada de cisco.com
Danai KoutraUniversity of Michigan, Ann ArborDirección de correo verificada de umich.edu
Amir AtiyaCairo UniversityDirección de correo verificada de alumni.caltech.edu
Xiangnan KongWorcester Polytechnic InstituteDirección de correo verificada de wpi.edu
Namyong ParkMeta AIDirección de correo verificada de meta.com
Ameer Haj-AliEntrepreneur, PhD EECS UC BerkeleyDirección de correo verificada de berkeley.edu
Krste AsanovicUC BerkeleyDirección de correo verificada de berkeley.edu
Ion StoicaProfessor of Computer Science, UC BerkeleyDirección de correo verificada de cs.berkeley.edu
Philip S. YuProfessor of Computer Science, University of Illinons at ChicagoDirección de correo verificada de cs.uic.edu
Ali JannesariAssociate Professor, Iowa State UniversityDirección de correo verificada de iastate.edu
Shahin NazarianUniversity of Southern California, Professor of Electrical and Computer Engineering PracticeDirección de correo verificada de usc.edu
Paul BogdanAssociate Professor, University of Southern CaliforniaDirección de correo verificada de usc.edu
Mohammad Al HasanProfessor of Computer Science, IUPUI, IN, USADirección de correo verificada de iupui.edu
Christos FaloutsosCMUDirección de correo verificada de cs.cmu.edu
George KarypisDistinguished McKnight University Professor, University of Minnesota; SPS, AWSDirección de correo verificada de umn.edu
Ancy TomPhD student, University of MinnesotaDirección de correo verificada de umn.edu
Niranjan HasabnisResearch Scientist, Intel LabsDirección de correo verificada de intel.com

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Nesreen K. Ahmed

Otros nombresNesreen Ahmed

Principal Researcher, Intel AI Research, Purdue University

Dirección de correo verificada de intel.com - Página principal

Geometric Deep Learning Graph Representation Learning ML for Systems ML4code


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
The network data repository with interactive graph analytics and visualization R Rossi, NK Ahmed Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015	2794	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	1075	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	630	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	321	2013
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	316	2019
Efficient graphlet counting for large networks NK Ahmed, J Neville, RA Rossi, N Duffield IEEE International Conference on Data Mining, 1-10, 2015	313	2015
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	300	2021
Role discovery in networks RA Rossi, NK Ahmed IEEE Transactions on Knowledge and Data Engineering 27 (4), 1112-1131, 2015	276	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	190	2023
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	179	2014
Temporal Network Representation Learning JB Lee, G Nguyen, RA Rossi, NK Ahmed, E Koh, S Kim arXiv preprint arXiv:1904.06449, 2019	137	2019
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	120*	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	120	2017
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	118	2021
Learning role-based graph embeddings NK Ahmed, R Rossi, JB Lee, TL Willke, R Zhou, X Kong, H Eldardiry Proceedings of IJCAI, 2018	117*	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	115	2020
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
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	104*	2020
Higher-Order Network Representation Learning RA Rossi, NK Ahmed, E Koh Proceedings of the Web Conference (WWW), 2018	103	2018
Deep graph similarity learning: A survey G Ma, NK Ahmed, TL Willke, SY Philip Data Mining and Knowledge Discovery, 1-38, 2021	92	2021

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