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cs.LG2024★ 1 cited
Disentangled Graph Autoencoder for Treatment Effect Estimation
Di Fan, Renlei Jiang, Yunhao Wen +1
Treatment effect estimation from observational data has attracted significant attention across various research fields. However, many widely used methods rely on the unconfoundedne…
cs.LG2024
Learning Network Representations with Disentangled Graph Auto-Encoder
Di Fan, Chuanhou Gao
The (variational) graph auto-encoder is widely used to learn representations for graph-structured data. However, the formation of real-world graphs is a complicated and heterogeneo…