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Graphs@SEI Collection

Collection
By
These publications describe Graphs@SEI, which provides a complete understanding of a system's behavior, effectiveness, vulnerability, and safety.
Publisher

Software Engineering Institute

Abstract

Graphs are everywhere. They’re in computer networks, social connections, web traffic, sensor recordings, manufacturing workflows, supply chains, natural languages, molecules, maps. They’re anywhere when relationship and position are important. Graphs@SEI combines the SEI’s graph processing and AI engineering expertise with its expertise in developing analysis techniques and tools. This multifaceted work pushes the boundaries of graph analysis to reveal otherwise hidden patterns in data, providing a more complete understanding of a system’s behavior, effectiveness, vulnerability, and safety.

Collection Items

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    2019 SEI Year in Review

    Annual Report
    By

    The 2019 SEI Year in Review highlights the work of the institute undertaken during the fiscal year spanning October 1, 2018, to September 30, 2019.

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    GraphBLAS Forum Collection

    Collection
    By

    These publications describe Graphs@SEI, which encompasses SEI's research into graph processing and related areas of AI engineering.

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    Spiral AI/ML Collection

    Collection
    By

    These publications describe a hardware/software co-optimization system that picks hardware configurations and generates optimized code.

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