International Workshop on Knowledge Graph: Heterogenous Graph Deep Learning and Applications
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Authors
Ding, Ying
Arsintescu, Bogdan
Chen, Ching-Hua
Feng, Haoyun
Scharffe, François
Seneviratne, Oshani
Sequeda, Juan
Issue Date
2021-08
Type
Article
Language
Keywords
Alternative Title
Abstract
Knowledge graph (KG) is the backbone to enable cognitive Artificial Intelligence (AI), which relies on cognitive computing and semantic reasoning. Knowledge graph is the connected data with the semantically enriched context. It is the necessary step for the next move of AI. Our daily activities have closely intermingled with various applications powered by knowledge graphs. It has even entered our healthcare system to facilitate clinical decision making and improve hospital efficiency. This workshop aims to bring researchers and practitioners to promote research and applications related to knowledge graph.
Description
Full Citation
Ying Ding, Bogdan Arsintescu, Ching-Hua Chen, Haoyun Feng, François Scharffe, Oshani Seneviratne, and Juan Sequeda. 2021. International Workshop on Knowledge Graph: Heterogenous Graph Deep Learning and Applications. In Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining (KDD '21). Association for Computing Machinery, New York, NY, USA, 4121–4122. https://doi.org/10.1145/3447548.3469473
Publisher
ACM