Common Challenges
Sparse data hinders training models for underrepresented connections. Furthermore, labeling connections manually incurs high costs.
Innovative Solutions
Connection hints augment training data by leveraging existing knowledge graphs. This approach alleviates data sparsity and reduces manual labeling efforts. Additionally, pre-trained models can be fine-tuned on specific domains to improve connection identification accuracy.
