Yugang Ji

Clustering-Based Supervised Contrastive Learning for Identifying Risk Items on Heterogeneous Graph

Risk item identification is vital for protecting the health of ecommerce trades. Existing solutions prefer to model structure information besides item attributes and optimize parameters in cross-entropy (CE) manners. However, the few labeled and imbalanced supervision in real-world scenarios usually…