Feiran Huang

GPatch: Patching Graph Neural Networks for Cold-Start Recommendations

2022 · arXiv (Cornell University)

Cold start is an essential and persistent problem in recommender systems. State-of-the-art solutions rely on training hybrid models for both cold-start and existing users/items, based on the auxiliary information. Such a hybrid model would compromise …