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%.
Lightweight and accurate cardinality estimation by neural network gaussian process,
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 2verdicts
UNVERDICTED 2representative citing papers
Empirical evaluation of sampling-based distinct combination estimation for multi-attribute GROUP-BY queries, including a new workload generator, tests on real datasets and TPC-H, error analysis, and recommendations for estimator design.
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From Single to Multiple Attributes: Experimental Insights on Sampling-Based Distinct Combination Estimation in GROUP-BY Queries
Empirical evaluation of sampling-based distinct combination estimation for multi-attribute GROUP-BY queries, including a new workload generator, tests on real datasets and TPC-H, error analysis, and recommendations for estimator design.