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Embedding based Link Prediction for Knowledge Graph Completion
2020
Proceedings of the 29th ACM International Conference on Information & Knowledge Management
Knowledge Graphs (KGs) have recently gained attention for representing knowledge about a particular domain. Since its advent, the Linked Open Data (LOD) cloud has constantly been growing containing many KGs about many different domains such as government, scholarly data, biomedical domain, etc. Apart from facilitating the inter-connectivity of datasets in the LOD cloud, KGs have been used in a variety of machine learning and Natural Language Processing (NLP) based applications. However, the
doi:10.1145/3340531.3418512
dblp:conf/cikm/Biswas20
fatcat:bgsrwzlh6bcbzeydijfc6ek7bu