Zhitao (Rex) Ying
Title
Cited by
Cited by
Year
Inductive representation learning on large graphs
WL Hamilton, R Ying, J Leskovec
arXiv preprint arXiv:1706.02216, 2017
33362017
Representation learning on graphs: Methods and applications
WL Hamilton, R Ying, J Leskovec
arXiv preprint arXiv:1709.05584, 2017
10362017
Graph convolutional neural networks for web-scale recommender systems
R Ying, R He, K Chen, P Eksombatchai, WL Hamilton, J Leskovec
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
8922018
Hierarchical graph representation learning with differentiable pooling
R Ying, J You, C Morris, X Ren, WL Hamilton, J Leskovec
arXiv preprint arXiv:1806.08804, 2018
4042018
Graphrnn: Generating realistic graphs with deep auto-regressive models
J You, R Ying, X Ren, W Hamilton, J Leskovec
International Conference on Machine Learning, 5708-5717, 2018
3552018
Graph convolutional policy network for goal-directed molecular graph generation
J You, B Liu, R Ying, V Pande, J Leskovec
arXiv preprint arXiv:1806.02473, 2018
3082018
Jiaxuan You, Christopher Morris, Xiang Ren, Will Hamilton, and Jure Leskovec. Hierarchical graph representation learning with differentiable pooling
Z Ying
Advances in neural information processing systems 31, 4800-4810, 2018
2552018
Gnnexplainer: Generating explanations for graph neural networks
R Ying, D Bourgeois, J You, M Zitnik, J Leskovec
Advances in neural information processing systems 32, 9240, 2019
1192019
Position-aware graph neural networks
J You, R Ying, J Leskovec
International Conference on Machine Learning, 7134-7143, 2019
1052019
Hyperbolic graph convolutional neural networks
I Chami, R Ying, C Ré, J Leskovec
Advances in neural information processing systems 32, 4869, 2019
952019
Learning to simulate complex physics with graph networks
A Sanchez-Gonzalez, J Godwin, T Pfaff, R Ying, J Leskovec, P Battaglia
International Conference on Machine Learning, 8459-8468, 2020
742020
Neural execution of graph algorithms
P Veličković, R Ying, M Padovano, R Hadsell, C Blundell
arXiv preprint arXiv:1910.10593, 2019
342019
Gnn explainer: A tool for post-hoc explanation of graph neural networks
R Ying, D Bourgeois, J You, M Zitnik, J Leskovec
arXiv preprint arXiv:1903.03894, 2019
292019
Approximating dynamic time warping and edit distance for a pair of point sequences
PK Agarwal, K Fox, J Pan, R Ying
arXiv preprint arXiv:1512.01876, 2015
232015
Improving graph attention networks with large margin-based constraints
G Wang, R Ying, J Huang, J Leskovec
arXiv preprint arXiv:1910.11945, 2019
172019
A simple efficient approximation algorithm for dynamic time warping
R Ying, J Pan, K Fox, PK Agarwal
Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances …, 2016
132016
Design space for graph neural networks
J You, Z Ying, J Leskovec
Advances in Neural Information Processing Systems 33, 2020
72020
Advances in Neural Information Processing Systems 31
Z Ying, J You, C Morris, X Ren, W Hamilton, J Leskovec
72018
Direct Multi-hop Attention based Graph Neural Network
G Wang, R Ying, J Huang, J Leskovec
arXiv preprint arXiv:2009.14332, 2020
42020
A method for discrimination of noise and EMG signal regions recorded during rhythmic behaviors
R Ying, CE Wall
Journal of biomechanics 49 (16), 4113-4118, 2016
32016
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Articles 1–20