Neighbor-anchoring adversarial graph neural networks

Graph neural networks (GNNs) have witnessed widespread adoption due to their ability to learn superior representations for graph data. While GNNs exhibit strong discriminative power, they often fall short of learning the underlying node distribution for increased robustness. To deal with this, inspi...

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Bibliographic Details
Main Authors: LIU, Zemin, FANG, Yuan, LIU, Yong, ZHENG, Vincent W.
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2023
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Online Access:https://ink.library.smu.edu.sg/sis_research/8200
https://ink.library.smu.edu.sg/context/sis_research/article/9203/viewcontent/TKDE21_NAGNN.pdf
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Institution: Singapore Management University
Language: English