Social scientists have accumulated rich survey datasets across all social domains. In most practices of social research using survey data, scholars often rely on a single dataset to test their hypotheses. This project aims to use graph convolutional networks (GCN) to learn representations of survey respondents as well as their answers. This will potentially help researchers to borrow information across surveys and