| The network data repository with interactive graph analytics and visualization R Rossi, NK Ahmed Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015 | 2968 | 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 | 1121 | 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 | 652 | 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 |
| 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 | 327 | 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 | 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 |
| Role discovery in networks RA Rossi, NK Ahmed IEEE Transactions on Knowledge and Data Engineering 27 (4), 1112-1131, 2015 | 281 | 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 | 125* | 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 | 123 | 2020 |
| Learning role-based graph embeddings NK Ahmed, R Rossi, JB Lee, TL Willke, R Zhou, X Kong, H Eldardiry Proceedings of IJCAI, 2018 | 121* | 2018 |
| 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 |
| 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 |
Jennifer NevilleMicrosoft Research, Purdue University在 microsoft.com 的电子邮件经过验证
