Reflecting Structural Dynamicity of Traffic Networks to Graph Convolution Modules: A Deep Learning Approach to Traffic Forecasting

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dc.contributor.authorShin, Yu Yolko
dc.contributor.authorYoon, Yoonjinko
dc.date.accessioned2019-12-13T07:40:08Z-
dc.date.available2019-12-13T07:40:08Z-
dc.date.created2019-12-05-
dc.date.issued2019-10-25-
dc.identifier.citationThe Thirty-Second KKHTCNN Symposium on Civil Engineering-
dc.identifier.urihttp://hdl.handle.net/10203/269034-
dc.languageEnglish-
dc.publisherKorea Advanced Institute of Science and Technology-
dc.titleReflecting Structural Dynamicity of Traffic Networks to Graph Convolution Modules: A Deep Learning Approach to Traffic Forecasting-
dc.typeConference-
dc.type.rimsCONF-
dc.citation.publicationnameThe Thirty-Second KKHTCNN Symposium on Civil Engineering-
dc.identifier.conferencecountryKO-
dc.identifier.conferencelocationLecture Wing, KAIST Mun-ji Campus, Daejeon-
dc.contributor.localauthorYoon, Yoonjin-
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CE-Conference Papers(학술회의논문)
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