نتائج البحث

NHGMI: Heterogeneous graph multi-view infomax with node-wise contrasting samples selection

• Authors : Li, Qing; Ni, Hang; Wang, Yuanchun

Subjects: Contrastive learning; Graph neural network; Heterogeneous graph

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Graph Representation and Prototype Learning for webly supervised fine-grained image recognition

• Authors : Lin, Jiantao; Chen, Tianshui; Chen, Yingcong

Subjects: Fine-grained image recognition; Graph representation learning; Webly supervised learning

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Discrete correntropy-based multi-view anchor-graph clustering

• Authors : Yang, Ben; Wu, Jinghan; Zhang, Xuetao

Subjects: Anchor graph; Correntropy; Discrete clustering

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Advancing storm surge forecasting from scarce observation data: A causal-inference based Spatio-Temporal Graph Neural Network approach

• Authors : Jiang, Wenjun; Zhang, Jize; Li, Yuerong

Subjects: Storm surge forecasting; Article

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Framework to embed machine learning algorithms in P-graph: Communication from the chemical process perspectives.

• Authors : Teng, Sin Yong¹ (AUTHOR) ; Orosz, Ákos² (AUTHOR) ; How, Bing Shen³ (AUTHOR)

• Source: Chemical Engineering Research & Design: Transactions of the Institution of Chemical Engineers Part A. Dec2022, Vol. 188, p265-270. 6p.

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Privacy-preserving graph convolution network for federated item recommendation

• Authors : Hu, Pengqing; Lin, Zhaohao; Pan, Weike

Subjects: Federated learning; Graph neural network; Item recommendation

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Automated structural design optimization of steel reinforcement using graph neural network and exploratory genetic algorithms

• Authors : Li, Mingkai; Liu, Yuhan; Wong, Chun Lok Billy

Subjects: Clash diagnosis; Genetic algorithm; Graph neural network

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Dual-stream multi-dependency graph neural network enables precise cancer survival analysis

• Authors : Wang Z.; Ma J.; Gao Q. ...

Subjects: Cancer survival analysi; Deep learning; Graph neural network

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Investigating over-parameterized randomized graph networks

• Authors : Donghi G.; Pasa L.; Oneto L. ...

Subjects: Algorithmic stability; Deep randomized neural network; Graph neural network

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Fair graph representation learning: Empowering NIFTY via Biased Edge Dropout and Fair Attribute Preprocessing

• Authors : Franco D.; D'Amato V. S.; Pasa L. ...

Subjects: Biased Edge Dropout; Fair Attribute Preprocessing; Fair representation learning

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