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Found 3 papers, 2 papers with code
KGLiDS: A Platform for Semantic Abstraction, Linking, and Automation of Data Science
Hence, this paper presents a scalable platform, KGLiDS, that employs machine learning and knowledge graph technologies to abstract and capture the semantics of data science artifacts and their connections.
Serenity: Library Based Python Code Analysis for Code Completion and Automated Machine Learning
We demonstrate the efficiency and usefulness of Serenity's analysis in two applications: code completion and automated machine learning.
A Scalable AutoML Approach Based on Graph Neural Networks
AutoML systems build machine learning models automatically by performing a search over valid data transformations and learners, along with hyper-parameter optimization for each learner.
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