CausalEGM: a general causal inference framework by encoding generative modeling

2 code implementations • 8 Dec 2022 • Qiao Liu, Zhongren Chen, Wing Hung Wong

In this article, we develop a general framework $\textit{CausalEGM}$ for estimating causal effects by encoding generative modeling, which can be applied in both binary and continuous treatment settings.

Causal Inference

Subgraph Frequency Distribution Estimation using Graph Neural Networks

no code implementations • 14 Jul 2022 • Zhongren Chen, Xinyue Xu, Shengyi Jiang, Hao Wang, Lu Mi

Small subgraphs (graphlets) are important features to describe fundamental units of a large network.