relation loss

关于relation loss的问题，根据引用\[1\]和引用\[3\]的内容，relation loss是在关系嵌入中的一种损失函数。在关系嵌入中，通过计算两个实体的嵌入之差再减去关系的嵌入来最小化损失。这个损失函数的目的是优化关系嵌入，以提升模型的效果。实验结果显示，优化关系损失后的模型效果确实有所提升。关于relation loss的具体细节和算法，需要进一步参考相关文献。
#### 引用[.reference_title]
- *1* [【论文解读 AAAI2020|AliNet】KnowledgeGraph Alignment Network with Gated Multi-hop Neighborhood ...](https://blog.csdn.net/byn12345/article/details/106151896)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v91^insertT0,239^v3^insert_chatgpt"}} ] [.reference_item]
- *2* [TransE模型学习笔记](https://blog.csdn.net/weixin_43734080/article/details/125685215)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v91^insertT0,239^v3^insert_chatgpt"}} ] [.reference_item]
- *3* [A Semi-supervised Graph Attentive Network for Financial Fraud Detection 个人总结](https://blog.csdn.net/weixin_40505645/article/details/105124245)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v91^insertT0,239^v3^insert_chatgpt"}} ] [.reference_item]
[ .reference_list ]