Debate 发表于 2025-3-30 09:14:04
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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闯入 发表于 2025-3-31 06:58:25
-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流利圆滑 发表于 2025-3-31 11:21:47
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http://reply.papertrans.cn/103/10218/1021701/1021701_59.png值得尊敬 发表于 2025-3-31 22:19:37
Jialiang Gao,Peng Peng,Christophe Claramunt,Feng Lu