Network Structures, Concurrency, and Interpretability: Lessons from the Development of an AI Enabled Graph Database System
This thesis describes the development of the SmartGraph, an AI enabled graph database. The need for such a system has been independently recognized in the isolated fields of graph databases, graph computing, and computational graph deep learning systems, such as TensorFlow. Though prior works have i...
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| Language: | English |
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2020
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| Online Access: | https://doi.org/10.7916/d8-hfry-nr98 |