2 papers
cs.LG2024
Debiasing Graph Representation Learning based on Information Bottleneck
Ziyi Zhang, Mingxuan Ouyang, Wanyu Lin +2
Graph representation learning has shown superior performance in numerous real-world applications, such as finance and social networks. Nevertheless, most existing works might make…
cs.LG2024
DPGAN: A Dual-Path Generative Adversarial Network for Missing Data Imputation in Graphs
Xindi Zheng, Yuwei Wu, Yu Pan +3
Missing data imputation poses a paramount challenge when dealing with graph data. Prior works typically are based on feature propagation or graph autoencoders to address this issue…