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Knowledge-Infused Learning for Urban Prediction by mecheboub.nouhayla.23 is a document available to read on EtoBox.

What is Knowledge-Infused Learning for Urban Prediction about?

The document presents a Knowledge-infused Contrastive Learning (KnowCL) model aimed at improving urban imagery-based socioeconomic prediction by integrating knowledge graphs to enhance representation learning. This approach addresses the limitations of traditional methods that rely on manually designed similarity metrics and demonstrates significant performance improvements across multiple datasets. Extensive experiments validate the effectiveness and transferability of the KnowCL model in predicting socioe

Author

mecheboub.nouhayla.23

Language

EN