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Continuous Stochastic Predictive Model for Monitoring Sporadic Time Series on Graphs (accepted by ICONIP'23)

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AGGDN

Adversarial Graph-Gated Differential Network

Introduction:

This is an implementation of the paper AGGDN: A Continuous Stochastic Predictive Model for Monitoring Sporadic Time Series on Graphs accepted by ICONIP 2023.

Citation:

If you use this code, please cite:

@InProceedings{10.1007/978-981-99-8079-6_11,
    author="Xing, Yucheng
            and Wu, Jacqueline
            and Liu, Yingru
            and Yang, Xuewen
            and Wang, Xin",
    title="AGGDN: A Continuous Stochastic Predictive Model for Monitoring Sporadic Time Series on Graphs",
    booktitle="Neural Information Processing",
    year="2024",
    publisher="Springer Nature Singapore",
    address="Singapore",
    pages="130--146",
    isbn="978-981-99-8079-6"
}

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Continuous Stochastic Predictive Model for Monitoring Sporadic Time Series on Graphs (accepted by ICONIP'23)

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