Follow
Jiaxuan You
Jiaxuan You
Incoming Assistant Professor, UIUC CS
Verified email at cs.stanford.edu - Homepage
Title
Cited by
Cited by
Year
On the opportunities and risks of foundation models
R Bommasani, DA Hudson, E Adeli, R Altman, S Arora, S von Arx, ...
arXiv preprint arXiv:2108.07258, 2021
29022021
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 (NeurIPS 2018), 2018
2312*2018
GNNExplainer: Generating explanations for graph neural networks
Z Ying, D Bourgeois, J You, M Zitnik, J Leskovec
Advances in Neural Information Processing Systems (NeurIPS 2019), 2019
12612019
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation
J You, B Liu, R Ying, V Pande, J Leskovec
Advances in Neural Information Processing Systems (NeurIPS 2018), 2018
10122018
GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models
J You, R Ying, X Ren, WL Hamilton, J Leskovec
International Conference on Machine Learning (ICML 2018), 2018
9752018
Deep Gaussian Process for Crop Yield Prediction Based on Remote Sensing Data.
J You, X Li, M Low, D Lobell, S Ermon
AAAI Conference on Artificial Intelligence (AAAI 2017), 2017
5702017
Position-aware Graph Neural Networks
J You, R Ying, J Leskovec
International Conference on Machine Learning (ICML 2019), 2019
5172019
Design space for graph neural networks
J You, Z Ying, J Leskovec
Advances in Neural Information Processing Systems (NeurIPS 2020), 2020
3132020
Identity-aware Graph Neural Networks
J You, J Gomes-Selman, R Ying, J Leskovec
AAAI Conference on Artificial Intelligence (AAAI 2021), 2021
2162021
Handling Missing Data with Graph Representation Learning
J You, X Ma, DY Ding, M Kochenderfer, J Leskovec
Advances in Neural Information Processing Systems (NeurIPS 2020), 2020
1512020
Graph Structure of Neural Networks
J You, J Leskovec, K He, S Xie
International Conference on Machine Learning (ICML 2020), 2020
1492020
Hierarchical Temporal Convolutional Networks for Dynamic Recommender Systems
J You, Y Wang, A Pal, P Eksombatchai, C Rosenburg, J Leskovec
The Web Conference 2019 (WWW 2019), 2019
1392019
ROLAND: graph learning framework for dynamic graphs
J You, T Du, J Leskovec
Proceedings of the 28th ACM SIGKDD conference on knowledge discovery and …, 2022
1012022
Redundancy-Free Computation for Graph Neural Networks
Z Jia, S Lin, R Ying, J You, A Porter, J Leskovec, A Aiken
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2020), 0
84*
Neural subgraph matching
Z Ying, A Wang, J You, C Wen, A Canedo, J Leskovec
78*2020
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 8, 2019
742019
G2SAT: Learning to Generate SAT Formulas
J You, H Wu, C Barrett, R Ramanujan, J Leskovec
Advances in Neural Information Processing Systems (NeurIPS 2019), 2019
372019
Inductive learning on commonsense knowledge graph completion
B Wang, G Wang, J Huang, J You, J Leskovec, CCJ Kuo
2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021
332021
Relational Multi-Task Learning: Modeling Relations between Data and Tasks
K Cao, J You, J Leskovec
International Conference on Learning Representations (ICLR 2022), 2022
112022
SP-GNN: Learning structure and position information from graphs
Y Chen, J You, J He, Y Lin, Y Peng, C Wu, Y Zhu
Neural Networks 161, 505-514, 2023
62023
The system can't perform the operation now. Try again later.
Articles 1–20