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MIGraphX is an open-source, high-performance, and machine learning (ML) focused graph framework developed by AMD. It aims to provide a flexible and efficient way to work with graph data structures, which are increasingly important in various domains, including social networks, recommendation systems, and knowledge graphs. This paper provides an in-depth review of the MIGraphX framework, its architecture, features, and applications. We also discuss its performance, scalability, and comparisons with other popular graph frameworks.

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