Causal Incremental Graph Convolution for Recommender System Retraining

Sihao Ding, Fuli Feng, Xiangnan He +3

Real-world recommender system needs to be regularly retrained to keep with the new data. In this work, we consider how to efficiently retrain graph convolution network (GCN) based…