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Detecting Extreme Traffic Events Via a Context Augmented Graph Autoencoder.

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Title: Detecting Extreme Traffic Events Via a Context Augmented Graph Autoencoder.
Authors: HU, YUE1 yue.hu@vanderbilt.edu, QU, AO1 ao.qu@vanderbilt.edu, WORK, DAN1 dan.work@vanderbilt.edu
Source: ACM Transactions on Intelligent Systems & Technology. Dec2022, Vol. 13 Issue 6, p1-23. 23p.
Database: Academic Search Ultimate
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DbLabel: Academic Search Ultimate
An: 160832447
AccessLevel: 2
PubType: Academic Journal
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  Data: <searchLink fieldCode="JN" term="%22ACM+Transactions+on+Intelligent+Systems+%26+Technology%22">ACM Transactions on Intelligent Systems & Technology</searchLink>. Dec2022, Vol. 13 Issue 6, p1-23. 23p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=160832447
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        Value: 10.1145/3539735
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      – Code: eng
        Text: English
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        PageCount: 23
        StartPage: 1
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      – TitleFull: Detecting Extreme Traffic Events Via a Context Augmented Graph Autoencoder.
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            NameFull: HU, YUE
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            NameFull: QU, AO
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              Text: Dec2022
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              Y: 2022
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