Join Cardinality Estimation using Machine Learning and Graph Kernels

A cardinality of a query is estimated by creating a join plan for the query. The join plan is converted to a graph representation. A subtree graph kernel matrix is generated for the graph representation of the join plan. The subtree graph kernel matrix is submitted to a trained model for cardinality prediction which produces a predicted cardinality of the query.