Titlebook: Web and Wireless Geographical Information Systems; 20th International S Mir Abolfazl Mostafavi,Géraldine Del Mondo Conference proceedings 2

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A Heterogeneous Information Attentive Network for?the?Identification of?Tourist Attraction Competitoroduces a Heterogenous Information Network (HIN) and Graph Neural Network-based model to capture the complex contextual features for and identifica-tion of attraction competitions. Specifically, three categories of LBS data are processed, extracted, and integrated into a unified HIN, including touri

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-GAN: Regularizing Polygons with?Generative Adversarial Networkstations of traditional cartographic regularization/generalization algorithms, which can struggle with producing both accurate and minimal representations of multisided built environment objects. Furthermore, future work proposes a way to test the method on even more complex object shapes to address

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Jialiang Gao,Peng Peng,Christophe Claramunt,Feng Lu