Graph Representation Learning via Causal Diffusion for Out-of-Distribution Recommendation

Chu Zhao, Enneng Yang, Yuliang Liang +5

Graph Neural Networks (GNNs)-based recommendation algorithms typically assume that training and testing data are drawn from independent and identically distributed (IID) spaces. Ho…