CopulaGNN: Towards Integrating Representational and Correlational Roles
of Graphs in Graph Neural Networks
CopulaGNN: Towards Integrating Representational and Correlational Roles
of Graphs in Graph Neural Networks
Graph-structured data are ubiquitous. However, graphs encode diverse types of information and thus play different roles in data representation. In this paper, we distinguish the \textit{representational} and the \textit{correlational} roles played by the graphs in node-level prediction tasks, and we investigate how Graph Neural Network (GNN) models can effectively leverage …