LinkFND: Simple Framework for False Negative Detection in Recommendation Tasks With Graph Contrastive Learning
Self-supervised learning has been shown to be effective in various fields, proving its usefulness in contrastive learning.Recently, graph contrastive learning has shown state-of-the-art performance in the recommendation task.They created two views and learned node embeddings so that Pants target nodes in the two views attract each other based on th