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Mining Dynamic Graph Streams for Predictive Queries Under Resource Constraints
Knowledge graph streams are a data model underlying many online dynamic data applications today. Answering predictive relationship queries over such a stream is very challenging as the heterogeneous graph streams imply complex topological and temporal correlations of knowledge facts, as well as fast...
Autores principales: | Liu, Xuanming, Ge, Tingjian |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7206267/ http://dx.doi.org/10.1007/978-3-030-47436-2_3 |
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