A scalable automl approach based on graph neural networks

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Substrat: A subset-based optimization strategy for faster automl

T Lazebnik, A Somech, AI Weinberg - Proceedings of the VLDB …, 2022 - dl.acm.org
Automated machine learning (AutoML) frameworks have become important tools in the data
scientist's arsenal, as they dramatically reduce the manual work devoted to the construction …
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Fedgta: Topology-aware averaging for federated graph learning

X Li, Z Wu, W Zhang, Y Zhu, RH Li, G Wang - ar** an end-to-end machine learning (ML) lifecycle for an ML task can be costly and
time-consuming. It involves exploring multiple configurations of ML pipelines, encompassing …
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Capturing Analytical Intents from Text

G Pons, M Dimic, B Bilalli - … Conference on Advances in Databases and …, 2024 - Springer
The ability to extract valuable information from data is crucial for organizations and
individuals who want to remain competitive in a constantly evolving data-driven …
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