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Nesreen Ahmed
Nesreen Ahmed
Principal Scientist, Intel Labs (PhD in CS, Purdue University)
Geverifieerd e-mailadres voor intel.com - Homepage
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The network data repository with interactive graph analytics and visualization
R Rossi, NK Ahmed
Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
14392015
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
6982010
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
2972018
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
2652013
Efficient graphlet counting for large networks
NK Ahmed, J Neville, RA Rossi, N Duffield
IEEE International Conference on Data Mining, 1-10, 2015
2322015
Role discovery in networks
RA Rossi, NK Ahmed
IEEE Transactions on Knowledge and Data Engineering 27 (4), 1112-1131, 2015
2262015
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
2182011
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
1962019
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
1892013
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
1522014
Temporal Network Representation Learning
JB Lee, G Nguyen, RA Rossi, NK Ahmed, E Koh, S Kim
arXiv preprint arXiv:1904.06449, 2019
1142019
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
912017
Learning role-based graph embeddings
NK Ahmed, R Rossi, JB Lee, TL Willke, R Zhou, X Kong, H Eldardiry
Proceedings of IJCAI, 2018
90*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
812017
Higher-Order Network Representation Learning
RA Rossi, NK Ahmed, E Koh
Proceedings of the Web Conference (WWW), 2018
652018
Estimating network degree distributions under sampling: an inverse problem, with applications to monitoring social media networks
H Crane, J Abello, A Buchsbaum, J Westbrook, D Achlioptas, A Clauset, ...
Probabilistic Foundations of Statistical Network Analysis 9 (1), 1-14, 2018
622018
Time-based sampling of social network activity graphs
NK Ahmed, F Berchmans, J Neville, R Kompella
Proceedings of the eighth workshop on mining and learning with graphs, 1-9, 2010
612010
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
60*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
58*2019
Deep feature learning for graphs
RA Rossi, R Zhou, NK Ahmed
arXiv preprint arXiv:1704.08829, 2017
582017
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Artikelen 1–20