| FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling J Chen, T Ma, C Xiao arXiv preprint arXiv:1801.10247, 2018 | 378 | 2018 |
| Fast approximate kNN graph construction for high dimensional data via recursive Lanczos bisection J Chen, H Fang, Y Saad Journal of Machine Learning Research 10 (Sep), 1989-2012, 2009 | 255 | 2009 |
| Dense subgraph extraction with application to community detection J Chen, Y Saad IEEE Transactions on Knowledge and Data Engineering 24 (7), 1216-1230, 2012 | 217 | 2012 |
| Trace optimization and eigenproblems in dimension reduction methods E Kokiopoulou, J Chen, Y Saad Numerical Linear Algebra with Applications 18 (3), 565-602, 2011 | 165 | 2011 |
| Architectural modeling from sparsely scanned range data J Chen, B Chen International Journal of Computer Vision 78 (2), 223-236, 2008 | 108 | 2008 |
| On the tensor SVD and the optimal low rank orthogonal approximation of tensors J Chen, Y Saad SIAM Journal on Matrix Analysis and Applications 30 (4), 1709-1734, 2009 | 98 | 2009 |
| Fast Estimation of via Stochastic Lanczos Quadrature S Ubaru, J Chen, Y Saad SIAM Journal on Matrix Analysis and Applications 38 (4), 1075-1099, 2017 | 77 | 2017 |
| EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs. A Pareja, G Domeniconi, J Chen, T Ma, T Suzumura, H Kanezashi, ... AAAI, 5363-5370, 2020 | 75 | 2020 |
| A matrix-free approach for solving the parametric Gaussian process maximum likelihood problem M Anitescu, J Chen, L Wang SIAM Journal on Scientific Computing 34 (1), A240-A262, 2012 | 74 | 2012 |
| Stochastic approximation of score functions for Gaussian processes M Stein, J Chen, M Anitescu Annals of Applied Statistics 7 (2), 1162--1191, 2013 | 72 | 2013 |
| Constrained generation of semantically valid graphs via regularizing variational autoencoders T Ma, J Chen, C Xiao Advances in Neural Information Processing Systems 31, 7113-7124, 2018 | 68 | 2018 |
| Algebraic distance on graphs J Chen, I Safro SIAM Journal on Scientific Computing 33 (6), 3468-3490, 2011 | 63 | 2011 |
| Computing f(A)b via Least Squares Polynomial Approximations J Chen, M Anitescu, Y Saad SIAM Journal on Scientific Computing 33 (1), 195-222, 2011 | 54 | 2011 |
| Lanczos vectors versus singular vectors for effective dimension reduction J Chen, Y Saad IEEE Transactions on Knowledge and Data Engineering 21 (8), 1091-1103, 2009 | 54 | 2009 |
| Anti-Money Laundering in Bitcoin: Experimenting with Graph Convolutional Networks for Financial Forensics M Weber, G Domeniconi, J Chen, DKI Weidele, C Bellei, T Robinson, ... arXiv preprint arXiv:1908.02591, 2019 | 45 | 2019 |
| DAG-GNN: DAG Structure Learning with Graph Neural Networks Y Yu, J Chen, T Gao, M Yu arXiv preprint arXiv:1904.10098, 2019 | 44 | 2019 |
| Revisiting random binning features: Fast convergence and strong parallelizability L Wu, IEH Yen, J Chen, R Yan Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016 | 30 | 2016 |
| Efficient one-vs-one kernel ridge regression for speech recognition J Chen, L Wu, K Audhkhasi, B Kingsbury, B Ramabhadrari 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 27 | 2016 |
| Analysis and practical use of flexible BiCGStab J Chen, LC McInnes, H Zhang Journal of Scientific Computing 68 (2), 803-825, 2016 | 26 | 2016 |
| A fast summation tree code for Matérn kernel J Chen, L Wang, M Anitescu SIAM Journal on Scientific Computing 36 (1), A289-A309, 2014 | 26 | 2014 |
Yousef SaadUniversity of MinnesotaVerified email at umn.edu
