Geo is a framework for optimizing graph pattern matching queries via rewrite rules and equality saturation that discovers equivalences and reduces costs by up to 99%.
Engineering an efficient canonical l abeling tool for large and sparse graphs
2 Pith papers cite this work. Polarity classification is still indexing.
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Framework using abstract grammar transformations, theory-based algorithms, and graph-inspired canonization to detect and explain (in-)equivalence of context-free grammars, evaluated on educational datasets.
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Geo: A Query Rewrite Framework for Graph Pattern Mining
Geo is a framework for optimizing graph pattern matching queries via rewrite rules and equality saturation that discovers equivalences and reduces costs by up to 99%.