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Jiaxuan You
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2020 – today
- 2023
- [j2]Sajjad Fouladvand, Federico Reyes Gomez
, Hamed Nilforoshan, Matthew Schwede, Morteza Noshad, Olivia Jee
, Jiaxuan You, Rok Sosic
, Jure Leskovec, Jonathan H. Chen:
Graph-based clinical recommender: Predicting specialists procedure orders using graph representation learning. J. Biomed. Informatics 143: 104407 (2023) - [j1]Yangrui Chen, Jiaxuan You, Jun He, Yuan Lin, Yanghua Peng, Chuan Wu, Yibo Zhu:
SP-GNN: Learning structure and position information from graphs. Neural Networks 161: 505-514 (2023) - [c18]Kaidi Cao, Jiaxuan You, Jiaju Liu, Jure Leskovec:
AutoTransfer: AutoML with Knowledge Transfer - An Application to Graph Neural Networks. ICLR 2023 - [i19]Kaidi Cao, Jiaxuan You, Jure Leskovec:
Relational Multi-Task Learning: Modeling Relations between Data and Tasks. CoRR abs/2303.07666 (2023) - [i18]Kaidi Cao, Jiaxuan You, Jiaju Liu, Jure Leskovec:
AutoTransfer: AutoML with Knowledge Transfer - An Application to Graph Neural Networks. CoRR abs/2303.07669 (2023) - 2022
- [c17]Kaidi Cao, Jiaxuan You, Jure Leskovec:
Relational Multi-Task Learning: Modeling Relations between Data and Tasks. ICLR 2022 - [c16]Jiaxuan You, Tianyu Du
, Jure Leskovec:
ROLAND: Graph Learning Framework for Dynamic Graphs. KDD 2022: 2358-2366 - [i17]Tim Postuvan, Jiaxuan You, Mohammadreza Banaei, Rémi Lebret, Jure Leskovec:
AdaGrid: Adaptive Grid Search for Link Prediction Training Objective. CoRR abs/2203.16162 (2022) - [i16]Jiaxuan You, Tianyu Du, Jure Leskovec:
ROLAND: Graph Learning Framework for Dynamic Graphs. CoRR abs/2208.07239 (2022) - [i15]Shirley Wu, Jiaxuan You, Jure Leskovec, Rex Ying:
Efficient Automatic Machine Learning via Design Graphs. CoRR abs/2210.12257 (2022) - 2021
- [b1]Jiaxuan You:
Empowering deep learning with graphs. Stanford University, USA, 2021 - [c15]Jiaxuan You, Jonathan Michael Gomes Selman, Rex Ying, Jure Leskovec:
Identity-aware Graph Neural Networks. AAAI 2021: 10737-10745 - [c14]Bin Wang, Guangtao Wang, Jing Huang, Jiaxuan You, Jure Leskovec
, C.-C. Jay Kuo:
Inductive Learning on Commonsense Knowledge Graph Completion. IJCNN 2021: 1-8 - [i14]Jiaxuan You, Jonathan Gomes-Selman, Rex Ying, Jure Leskovec:
Identity-aware Graph Neural Networks. CoRR abs/2101.10320 (2021) - 2020
- [c13]Jiaxuan You, Jure Leskovec, Kaiming He, Saining Xie:
Graph Structure of Neural Networks. ICML 2020: 10881-10891 - [c12]Zhihao Jia, Sina Lin, Rex Ying, Jiaxuan You, Jure Leskovec, Alex Aiken:
Redundancy-Free Computation for Graph Neural Networks. KDD 2020: 997-1005 - [c11]Jiaxuan You, Xiaobai Ma, Daisy Yi Ding, Mykel J. Kochenderfer, Jure Leskovec:
Handling Missing Data with Graph Representation Learning. NeurIPS 2020 - [c10]Jiaxuan You, Zhitao Ying, Jure Leskovec:
Design Space for Graph Neural Networks. NeurIPS 2020 - [i13]Rex Ying, Zhaoyu Lou, Jiaxuan You, Chengtao Wen, Arquimedes Canedo, Jure Leskovec:
Neural Subgraph Matching. CoRR abs/2007.03092 (2020) - [i12]Jiaxuan You, Jure Leskovec, Kaiming He, Saining Xie:
Graph Structure of Neural Networks. CoRR abs/2007.06559 (2020) - [i11]Bin Wang, Guangtao Wang, Jing Huang, Jiaxuan You, Jure Leskovec, C.-C. Jay Kuo:
Inductive Learning on Commonsense Knowledge Graph Completion. CoRR abs/2009.09263 (2020) - [i10]Jiaxuan You, Xiaobai Ma, Daisy Yi Ding, Mykel J. Kochenderfer, Jure Leskovec:
Handling Missing Data with Graph Representation Learning. CoRR abs/2010.16418 (2020) - [i9]Jiaxuan You, Rex Ying, Jure Leskovec:
Design Space for Graph Neural Networks. CoRR abs/2011.08843 (2020)
2010 – 2019
- 2019
- [c9]Jiaxuan You, Rex Ying, Jure Leskovec:
Position-aware Graph Neural Networks. ICML 2019: 7134-7143 - [c8]Zhitao Ying, Dylan Bourgeois, Jiaxuan You, Marinka Zitnik, Jure Leskovec:
GNNExplainer: Generating Explanations for Graph Neural Networks. NeurIPS 2019: 9240-9251 - [c7]Jiaxuan You, Haoze Wu, Clark W. Barrett, Raghuram Ramanujan, Jure Leskovec:
G2SAT: Learning to Generate SAT Formulas. NeurIPS 2019: 10552-10563 - [c6]Jiaxuan You, Yichen Wang, Aditya Pal, Pong Eksombatchai, Chuck Rosenberg, Jure Leskovec
:
Hierarchical Temporal Convolutional Networks for Dynamic Recommender Systems. WWW 2019: 2236-2246 - [i8]Rex Ying, Dylan Bourgeois, Jiaxuan You, Marinka Zitnik, Jure Leskovec:
GNN Explainer: A Tool for Post-hoc Explanation of Graph Neural Networks. CoRR abs/1903.03894 (2019) - [i7]Jiaxuan You, Yichen Wang, Aditya Pal, Pong Eksombatchai, Chuck Rosenberg, Jure Leskovec:
Hierarchical Temporal Convolutional Networks for Dynamic Recommender Systems. CoRR abs/1904.04381 (2019) - [i6]Zhihao Jia, Sina Lin, Rex Ying, Jiaxuan You, Jure Leskovec, Alex Aiken:
Redundancy-Free Computation Graphs for Graph Neural Networks. CoRR abs/1906.03707 (2019) - [i5]Jiaxuan You, Rex Ying, Jure Leskovec:
Position-aware Graph Neural Networks. CoRR abs/1906.04817 (2019) - [i4]Jiaxuan You, Haoze Wu, Clark W. Barrett, Raghuram Ramanujan, Jure Leskovec:
G2SAT: Learning to Generate SAT Formulas. CoRR abs/1910.13445 (2019) - 2018
- [c5]Jiaxuan You, Rex Ying, Xiang Ren, William L. Hamilton, Jure Leskovec:
GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models. ICML 2018: 5694-5703 - [c4]Zhitao Ying, Jiaxuan You, Christopher Morris, Xiang Ren, William L. Hamilton, Jure Leskovec:
Hierarchical Graph Representation Learning with Differentiable Pooling. NeurIPS 2018: 4805-4815 - [c3]Jiaxuan You, Bowen Liu, Zhitao Ying, Vijay S. Pande, Jure Leskovec:
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation. NeurIPS 2018: 6412-6422 - [i3]Jiaxuan You, Rex Ying, Xiang Ren, William L. Hamilton, Jure Leskovec:
GraphRNN: A Deep Generative Model for Graphs. CoRR abs/1802.08773 (2018) - [i2]Jiaxuan You, Bowen Liu, Rex Ying, Vijay S. Pande, Jure Leskovec:
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation. CoRR abs/1806.02473 (2018) - [i1]Rex Ying, Jiaxuan You, Christopher Morris, Xiang Ren, William L. Hamilton, Jure Leskovec:
Hierarchical Graph Representation Learning with Differentiable Pooling. CoRR abs/1806.08804 (2018) - 2017
- [c2]Jiaxuan You, Xiaocheng Li, Melvin Low, David B. Lobell, Stefano Ermon:
Deep Gaussian Process for Crop Yield Prediction Based on Remote Sensing Data. AAAI 2017: 4559-4566 - 2016
- [c1]Jiaxuan You, Wei Guo, Yi Zhang, Jianming Hu:
An effective simulation model for multi-line metro systems based on origin-destination data. ITSC 2016: 348-353
Coauthor Index
aka: Zhitao Ying

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last updated on 2023-12-01 21:05 CET by the dblp team
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