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Graphs@SEI Collection

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 Contents