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Rex (Zhitao) Ying
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Année
Inductive representation learning on large graphs
W Hamilton, Z Ying, J Leskovec
Advances in neural information processing systems 30, 2017
186732017
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
42562018
Representation learning on graphs: Methods and applications
WL Hamilton, R Ying, J Leskovec
arXiv preprint arXiv:1709.05584, 2017
26312017
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
19522018
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
18182019
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
13032020
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
11522018
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
11372018
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), 2, 2018
8992018
Hyperbolic graph convolutional neural networks
I Chami, Z Ying, C Ré, J Leskovec
Advances in neural information processing systems 32, 2019
7762019
Position-aware graph neural networks
J You, R Ying, J Leskovec
International conference on machine learning, 7134-7143, 2019
5902019
Design space for graph neural networks
J You, Z Ying, J Leskovec
Advances in Neural Information Processing Systems 33, 17009-17021, 2020
4072020
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
2782021
Trustllm: Trustworthiness in large language models
Y Huang, L Sun, H Wang, S Wu, Q Zhang, Y Li, C Gao, Y Huang, W Lyu, ...
arXiv preprint arXiv:2401.05561, 2024
2432024
Neural execution of graph algorithms
P Veličković, R Ying, M Padovano, R Hadsell, C Blundell
arXiv preprint arXiv:1910.10593, 2019
1962019
Multi-hop attention graph neural network
G Wang, R Ying, J Huang, J Leskovec
International Joint Conferences on Artificial Intelligence 2020, 2020
1412020
Local augmentation for graph neural networks
S Liu, R Ying, H Dong, L Li, T Xu, Y Rong, P Zhao, J Huang, D Wu
International conference on machine learning, 14054-14072, 2022
1272022
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
1052020
Folio: Natural language reasoning with first-order logic
S Han, H Schoelkopf, Y Zhao, Z Qi, M Riddell, W Zhou, J Coady, D Peng, ...
arXiv preprint arXiv:2209.00840, 2022
1042022
Improving graph attention networks with large margin-based constraints
G Wang, R Ying, J Huang, J Leskovec
arXiv preprint arXiv:1910.11945, 2019
982019
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