JavaShuo
欄目
標籤
embedding entities and relations for learning and inference knowledge base
時間 2020-12-30
原文
原文鏈接
embedding entities and relations for learning and inference knowledge base 解讀 來源 背景 本文的貢獻 一般化的多關係學習框架 實驗部分 推理任務 來源 ICLR 2015 微軟研究院 和 康奈爾大學 背景 目前很多研究工作致力於大型知識圖譜上的關係學習,其中張量分解以及神經網絡embedding方法是其中重要的兩種方法。
>>阅读原文<<
相關文章
1.
LA and RTOS Base Knowledge
2.
Knowledge Graph Embedding: A Survey of Approaches and Applications 摘要
3.
Embedding Multimodal Relational Data for Knowledge Base Completion理解
4.
Classification and inference with machine learning
5.
實體-關係聯合抽取:CoType: Joint Extraction of Typed Entities and Relations with Knowledge Bases
6.
論文閱讀筆記-CoType: Joint Extraction of Typed Entities and Relations with Knowledge Bases
7.
Transfer Learning for Item Recommendations and Knowledge Graph Completion
8.
論文淺嘗 | Aligning Knowledge Base and Document Embedding Models
9.
Differentiable Learning of Logical Rules for Knowledge Base Reasoning
10.
一、 Knowledge Transfer for Out-of-Knowledge-Base Entities: A Graph Neural Network Approach
更多相關文章...
•
W3C RDF and OWL 活動
-
W3C 教程
•
XSL-FO table-and-caption 對象
-
XSL-FO 教程
•
RxJava操作符(七)Conditional and Boolean
•
算法總結-股票買賣
相關標籤/搜索
action.....and
between...and
react+and
entities
relations
knowledge
inference
embedding
learning
base
0
分享到微博
分享到微信
分享到QQ
每日一句
每一个你不满意的现在,都有一个你没有努力的曾经。
最新文章
1.
css 讓chrome支持小於12px的文字
2.
集合的一點小總結
3.
ejb
4.
Selenium WebDriver API
5.
人工智能基礎,我的看法
6.
Non-local Neural及Self-attention
7.
Hbuilder 打開iOS真機調試操作
8.
improved open set domain adaptation with backpropagation 學習筆記
9.
Chrome插件 GitHub-Chart Commits3D直方圖視圖
10.
CISCO ASAv 9.15 - 體驗思科上一代防火牆
本站公眾號
歡迎關注本站公眾號,獲取更多信息
相關文章
1.
LA and RTOS Base Knowledge
2.
Knowledge Graph Embedding: A Survey of Approaches and Applications 摘要
3.
Embedding Multimodal Relational Data for Knowledge Base Completion理解
4.
Classification and inference with machine learning
5.
實體-關係聯合抽取:CoType: Joint Extraction of Typed Entities and Relations with Knowledge Bases
6.
論文閱讀筆記-CoType: Joint Extraction of Typed Entities and Relations with Knowledge Bases
7.
Transfer Learning for Item Recommendations and Knowledge Graph Completion
8.
論文淺嘗 | Aligning Knowledge Base and Document Embedding Models
9.
Differentiable Learning of Logical Rules for Knowledge Base Reasoning
10.
一、 Knowledge Transfer for Out-of-Knowledge-Base Entities: A Graph Neural Network Approach
>>更多相關文章<<