Pre-training Recommender Systems via Reinforced Attentive
Multi-relational Graph Neural Network
Pre-training Recommender Systems via Reinforced Attentive
Multi-relational Graph Neural Network
Recently, Graph Neural Networks (GNNs) have proven their effectiveness for recommender systems. Existing studies have applied GNNs to capture collaborative relations in the data. However, in real-world scenarios, the relations in a recommendation graph can be of various kinds. For example, two movies may be associated either by the same …