A Joint Model for Representation Learning of Tibetan Knowledge Graph Based on Encyclopedia
Abstract
References
Index Terms
- A Joint Model for Representation Learning of Tibetan Knowledge Graph Based on Encyclopedia
Recommendations
Dynamic Adaptive Chain Model of Knowledge Graph Representation Learning
ICIIT '21: Proceedings of the 2021 6th International Conference on Intelligent Information TechnologyKnowledge graph representation learning models are mostly used for static data. When the data changes, the models cannot be adjusted dynamically as the data changes. The data is constantly changing in actual usage scenarios. However, most representation ...
Text-Enhanced Knowledge Graph Representation Model in Hyperbolic Space
Advanced Data Mining and ApplicationsAbstractThe representation learning of knowledge graph refers to embedding entities and relations in knowledge graph into a low-dimensional dense vector space. Existing knowledge graph embedding models mostly chose Euclidean Space as their vector space ...
NeuralKG-ind: A Python Library for Inductive Knowledge Graph Representation Learning
SIGIR '23: Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information RetrievalSince the dynamic characteristics of knowledge graphs, many inductive knowledge graph representation learning (KGRL) works have been proposed in recent years, focusing on enabling prediction over new entities. NeuralKG-ind is the first library of ...
Comments
Information & Contributors
Information
Published In
![cover image ACM Transactions on Asian and Low-Resource Language Information Processing](/cms/asset/e58ac020-9206-422b-aa5b-522b17d75678/3454116.cover.jpg)
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Check for updates
Author Tags
Qualifiers
- Research-article
- Refereed
Funding Sources
- National Natural Science Foundation of China
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 190Total Downloads
- Downloads (Last 12 months)8
- Downloads (Last 6 weeks)1
Other Metrics
Citations
View Options
Get Access
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign inFull Access
View options
View or Download as a PDF file.
PDFeReader
View online with eReader.
eReaderHTML Format
View this article in HTML Format.
HTML Format