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    Chapter and Conference Paper

    LogE-Net: Logic Evolution Network for Temporal Knowledge Graph Forecasting

    In recent years, research on predicting future events using temporal knowledge graphs by leveraging their rich structural and historical information has just begun. Due to their interesting application potenti...

    Yuxuan Liu, Yijun Mo, Zhengyu Chen in Artificial Neural Networks and Machine Lea… (2023)

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    Chapter and Conference Paper

    Exploring the Use of Dataflow Architectures for Graph Neural Network Workloads

    Graph Neural Networks (GNNs), which learn representations of non-euclidean data, are rapidly rising in popularity and are used in several computationally demanding scientific applications. As these deep learni...

    Ryien Hosseini, Filippo Simini, Venkatram Vishwanath in High Performance Computing (2023)