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KGCLMDA: a computational model for predicting latent associations of microbial drugs using knowledge graphs and contrastive learning. [PDF]
BioinformaticsLiu M, Su S, Wang G, Huang S.
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Everything robots need to know about cooking actions: creating actionable knowledge graphs to support robotic meal preparation. [PDF]
Front Robot AIKümpel M +6 more
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Specifying Knowledge Graph with Data Graph, Information Graph, Knowledge Graph, and Wisdom Graph
International Journal of Software Innovation, 2018Knowledge graphs have been widely adopted, in large part owing to their schema-less nature. It enables knowledge graphs to grow seamlessly and allows for new relationships and entities as needed. A knowledge graph is a graph constructed by representing each item, entity and user as nodes, and linking those nodes that interact with each other via edges.
Yucong Duan, Lixu Shao, Gongzhu Hu
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2017 IEEE 15th International Conference on Software Engineering Research, Management and Applications (SERA), 2017
Knowledge graphs have been widely adopted, in large part owing to their schema-less nature. It enables knowledge graphs to grow seamlessly and allows for new relationships and entities as needed. Knowledge graph has become a powerful tool to represent knowledge in the form of a labelled directed graph and to give semantics to textual information.
Yucong Duan +5 more
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Knowledge graphs have been widely adopted, in large part owing to their schema-less nature. It enables knowledge graphs to grow seamlessly and allows for new relationships and entities as needed. Knowledge graph has become a powerful tool to represent knowledge in the form of a labelled directed graph and to give semantics to textual information.
Yucong Duan +5 more
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IEEE INFOCOM 2019 - IEEE Conference on Computer Communications, 2019
Many practical applications have observed knowledge evolution, i.e., continuous born of new knowledge, with its formation influenced by the structure of historical knowledge. This observation gives rise to evolving knowledge graphs whose structure temporally grows over time. However, both the modal characterization and the algorithmic implementation of
Jiaqi Liu 0002 +4 more
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Many practical applications have observed knowledge evolution, i.e., continuous born of new knowledge, with its formation influenced by the structure of historical knowledge. This observation gives rise to evolving knowledge graphs whose structure temporally grows over time. However, both the modal characterization and the algorithmic implementation of
Jiaqi Liu 0002 +4 more
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A retrospective of knowledge graphs
Frontiers of Computer Science, 2016Information on the Internet is fragmented and presented in different data sources, which makes automatic knowledge harvesting and understanding formidable for machines, and even for humans. Knowledge graphs have become prevalent in both of industry and academic circles these years, to be one of the most efficient and effective knowledge integration ...
Jihong Yan +4 more
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Knowledge Graph for China's Genealogy
IEEE Transactions on Knowledge and Data Engineering, 2020Genealogical knowledge graphs depict the relationships of family networks and the development of family histories. They can help researchers to analyze and understand genealogical data, search for genealogical descendant paths, and explore the origins of a family more easily.
Xindong Wu 0001 +3 more
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