Zhitao (Rex) Ying
Title
Cited by
Cited by
Year
Inductive representation learning on large graphs
W Hamilton, Z Ying, J Leskovec
Advances in neural information processing systems, 1024-1034, 2017
18062017
Representation learning on graphs: Methods and applications
WL Hamilton, R Ying, J Leskovec
arXiv preprint arXiv:1709.05584, 2017
6742017
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
4582018
Hierarchical graph representation learning with differentiable pooling
Z Ying, J You, C Morris, X Ren, W Hamilton, J Leskovec
Advances in neural information processing systems, 4800-4810, 2018
2012018
Graph convolutional policy network for goal-directed molecular graph generation
J You, B Liu, Z Ying, V Pande, J Leskovec
Advances in neural information processing systems, 6410-6421, 2018
1822018
Graphrnn: Generating realistic graphs with deep auto-regressive models
J You, R Ying, X Ren, WL Hamilton, J Leskovec
arXiv preprint arXiv:1802.08773, 2018
1802018
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
1732018
Graphrnn: A deep generative model for graphs
J You, R Ying, X Ren, WL Hamilton, J Leskovec
arXiv preprint arXiv:1802.08773, 2018
662018
Position-aware graph neural networks
J You, R Ying, J Leskovec
arXiv preprint arXiv:1906.04817, 2019
442019
Gnnexplainer: Generating explanations for graph neural networks
Z Ying, D Bourgeois, J You, M Zitnik, J Leskovec
Advances in neural information processing systems, 9244-9255, 2019
322019
Hyperbolic graph convolutional neural networks
I Chami, Z Ying, C Ré, J Leskovec
Advances in neural information processing systems, 4868-4879, 2019
272019
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
252019
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
202015
Learning to simulate complex physics with graph networks
A Sanchez-Gonzalez, J Godwin, T Pfaff, R Ying, J Leskovec, PW Battaglia
arXiv preprint arXiv:2002.09405, 2020
142020
Neural execution of graph algorithms
P Veličković, R Ying, M Padovano, R Hadsell, C Blundell
arXiv preprint arXiv:1910.10593, 2019
122019
Representation learning on graphs: methods and applications (2017)
WL Hamilton, R Ying, J Leskovec
arXiv preprint arXiv:1709.05584, 2019
112019
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
112016
Improving graph attention networks with large margin-based constraints
G Wang, R Ying, J Huang, J Leskovec
arXiv preprint arXiv:1910.11945, 2019
42019
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
Redundancy-free computation graphs for graph neural networks
Z Jia, S Lin, R Ying, J You, J Leskovec, A Aiken
arXiv preprint arXiv:1906.03707, 2019
12019
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