Nesreen K. Ahmed
Nesreen K. Ahmed
Other namesNesreen Ahmed
Principal Researcher, Intel AI Research, Purdue University
Verified email at - Homepage
Cited by
Cited by
The network data repository with interactive graph analytics and visualization
R Rossi, NK Ahmed
Twenty-Ninth AAAI Conference on Artificial Intelligence, 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
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
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
Efficient graphlet counting for large networks
NK Ahmed, J Neville, RA Rossi, N Duffield
IEEE International Conference on Data Mining, 1-10, 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
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
Role discovery in networks
RA Rossi, NK Ahmed
IEEE Transactions on Knowledge and Data Engineering 27 (4), 1112-1131, 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
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
Temporal Network Representation Learning
JB Lee, G Nguyen, RA Rossi, NK Ahmed, E Koh, S Kim
arXiv preprint arXiv:1904.06449, 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
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
Learning role-based graph embeddings
NK Ahmed, R Rossi, JB Lee, TL Willke, R Zhou, X Kong, H Eldardiry
Proceedings of IJCAI, 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
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
On sampling from massive graph streams
NK Ahmed, N Duffield, TL Willke, RA Rossi
Proceedings of the VLDB Endowment 10 (11), 1430-1441, 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
Higher-Order Network Representation Learning
RA Rossi, NK Ahmed, E Koh
Proceedings of the Web Conference (WWW), 2018
Deep graph similarity learning: A survey
G Ma, NK Ahmed, TL Willke, SY Philip
Data Mining and Knowledge Discovery, 1-38, 2021
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