受强制性开放获取政策约束的文章 - Jiaxuan You了解详情
可在其他位置公开访问的文章：16 篇
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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
强制性开放获取政策： US Department of Defense, German Research Foundation
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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
强制性开放获取政策： US National Science Foundation, US Department of Defense, US National …
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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
强制性开放获取政策： US Department of Defense, US National Institutes of Health
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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
强制性开放获取政策： US Department of Defense, Natural Sciences and Engineering Research Council …
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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
强制性开放获取政策： US National Science Foundation
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Position-aware Graph Neural Networks
J You, R Ying, J Leskovec
International Conference on Machine Learning (ICML 2019), 2019
强制性开放获取政策： US National Science Foundation, US Department of Defense, Chan Zuckerberg …
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Design space for graph neural networks
J You, Z Ying, J Leskovec
Advances in Neural Information Processing Systems (NeurIPS 2020), 2020
强制性开放获取政策： US National Science Foundation, US Department of Defense, Chan Zuckerberg …
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Identity-aware Graph Neural Networks
J You, J Gomes-Selman, R Ying, J Leskovec
AAAI Conference on Artificial Intelligence (AAAI 2021), 2021
强制性开放获取政策： US National Science Foundation, US Department of Defense, Chan Zuckerberg …
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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
强制性开放获取政策： US National Science Foundation, US Department of Defense, Chan Zuckerberg …
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Graph Structure of Neural Networks
J You, J Leskovec, K He, S Xie
International Conference on Machine Learning (ICML 2020), 2020
强制性开放获取政策： Chan Zuckerberg Initiative
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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
强制性开放获取政策： US National Science Foundation, US Department of Defense, US National …
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Relational deep learning: Graph representation learning on relational databases
M Fey, W Hu, K Huang, JE Lenssen, R Ranjan, J Robinson, R Ying, J You, ...
arXiv preprint arXiv:2312.04615, 2023
强制性开放获取政策： US National Science Foundation, US Department of Defense
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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
强制性开放获取政策： Research Grants Council, Hong Kong
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Graph-based clinical recommender: Predicting specialists procedure orders using graph representation learning
S Fouladvand, FR Gomez, H Nilforoshan, M Schwede, M Noshad, O Jee, ...
Journal of Biomedical Informatics 143, 104407, 2023
强制性开放获取政策： US National Institutes of Health, American Heart Association, Doris Duke …
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Travel modal choice analysis for traffic corridors based on decision-theoretic approaches
W Guo, Y Zhang, J You, J Hu, X Pei
Journal of Central South University 23 (11), 3028-3039, 2016
强制性开放获取政策： 国家自然科学基金委员会
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An effective simulation model for multi-line metro systems based on origin-destination data
J You, W Guo, Y Zhang, J Hu
International Conference on Intelligent Transportation Systems (ITSC 2016 …, 2016
强制性开放获取政策： 国家自然科学基金委员会
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