kgTransformer
时间: 2023-11-14 19:28:25 浏览: 44
kgTransformer是一种基于Transformer的图神经网络(GNN)。它的主要思想是将图作为序列,然后将序列输入到Transformer中进行预训练和微调。为了实现这个目的,首先需要准备数据。kgTransformer使用自我监督的预训练策略,可以处理复杂的逻辑查询。它具有较强的泛化能力,通过设计掩蔽的预训练和微调框架来实现。整个KG预训练和推理框架的架构如图2所示。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
#### 引用[.reference_title]
- *1* *3* [知识图谱顶会论文(KDD-2022) kgTransformer:复杂逻辑查询的预训练知识图谱Transformer](https://blog.csdn.net/Louise_Trender/article/details/127392751)[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^v93^chatsearchT3_1"}}] [.reference_item style="max-width: 50%"]
- *2* [KDD 2022 | kgTransformer:基于知识图谱与Transformer的复杂逻辑查询](https://blog.csdn.net/c9Yv2cf9I06K2A9E/article/details/126716072)[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^v93^chatsearchT3_1"}}] [.reference_item style="max-width: 50%"]
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