Enriching Medcial Terminology Knowledge Bases via Pre-trained Language Model and Graph Convolutional Network
TABLE V: Comparative Results for Different GCN Loss Functions
['Distance Function Margin', 'First Moment Hits@1', 'First Moment Hits@5', 'First Moment Hits@10', 'Second Moment Hits@1', 'Second Moment Hits@5', 'Second Moment Hits@10']
Meanwhile, Hits@5 is better when \gamma=3 while Hits@10 is better when the second moment is used. Overall, margin \gamma and distance function affect the score in a small scale, and GCN model shows robustness in these hyper-parameters. As we pay more attention to the Hits@1, we choose \gamma=5 and the first moment in GCN loss function for the best Hits@1 score.