Search Results for author: Shuyan Wan

Found 1 papers, 0 papers with code

SGA: A Graph Augmentation Method for Signed Graph Neural Networks

no code implementations15 Oct 2023 Zeyu Zhang, Shuyan Wan, Sijie Wang, Xianda Zheng, Xinrui Zhang, Kaiqi Zhao, Jiamou Liu, Dong Hao

Signed Graph Neural Networks (SGNNs) are vital for analyzing complex patterns in real-world signed graphs containing positive and negative links.

Data Augmentation Graph Representation Learning +1

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