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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 30, 2017
70882017
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
19072018
Representation learning on graphs: Methods and applications
WL Hamilton, R Ying, J Leskovec
arXiv preprint arXiv:1709.05584, 2017
16292017
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 31, 2018
8732018
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 31, 2018
6002018
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
5742018
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
4812018
Gnnexplainer: Generating explanations for graph neural networks
Z Ying, D Bourgeois, J You, M Zitnik, J Leskovec
Advances in neural information processing systems 32, 2019
4032019
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
3922020
Hyperbolic graph convolutional neural networks
I Chami, Z Ying, C Ré, J Leskovec
Advances in neural information processing systems 32, 2019
2982019
Position-aware graph neural networks
J You, R Ying, J Leskovec
International conference on machine learning, 7134-7143, 2019
2552019
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
1082019
Design space for graph neural networks
J You, Z Ying, J Leskovec
Advances in Neural Information Processing Systems 33, 17009-17021, 2020
972020
Neural execution of graph algorithms
P Veličković, R Ying, M Padovano, R Hadsell, C Blundell
arXiv preprint arXiv:1910.10593, 2019
952019
Identity-aware graph neural networks
J You, JM Gomes-Selman, R Ying, J Leskovec
Proceedings of the AAAI Conference on Artificial Intelligence 35 (12), 10737 …, 2021
482021
Improving graph attention networks with large margin-based constraints
G Wang, R Ying, J Huang, J Leskovec
arXiv preprint arXiv:1910.11945, 2019
392019
Redundancy-free computation for graph neural networks
Z Jia, S Lin, R Ying, J You, J Leskovec, A Aiken
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
312020
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
312015
Direct multi-hop attention based graph neural network
G Wang, R Ying, J Huang, J Leskovec
arXiv preprint arXiv:2009.14332, 2020
232020
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
182016
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