Neighbor-anchoring adversarial graph neural networks (extended abstract)

While graph neural networks (GNNs) exhibit strong discriminative power, they often fall short of learning the underlying node distribution for increased robustness. To deal with this, inspired by generative adversarial networks (GANs), we investigate the problem of adversarial learning on graph neur...

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Main Authors: LIU, Zemin, FANG, Yuan, LIU, Yong, Zheng, Vincent W.
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語言:English
出版: Institutional Knowledge at Singapore Management University 2022
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在線閱讀:https://ink.library.smu.edu.sg/sis_research/7498
https://ink.library.smu.edu.sg/context/sis_research/article/8501/viewcontent/ICDE22_NAGNN.pdf
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