2 papers
cs.CL2023
Relation-Aware Network with Attention-Based Loss for Few-Shot Knowledge Graph Completion
Qiao Qiao, Yuepei Li, Kang Zhou +1
Few-shot knowledge graph completion (FKGC) task aims to predict unseen facts of a relation with few-shot reference entity pairs. Current approaches randomly select one negative sam…
cs.LG2022
Supervised Contrastive Learning with Tree-Structured Parzen Estimator Bayesian Optimization for Imbalanced Tabular Data
Shuting Tao, Peng Peng, Qi Li +1
Class imbalance has a detrimental effect on the predictive performance of most supervised learning algorithms as the imbalanced distribution can lead to a bias preferring the major…