Abstract: Link prediction on temporal networks aims to predict the future edges by modeling the dynamic evolution involved in the graph data. Previous methods relying on the node/edge attributes or ...
Abstract: We present TSGFM, a Time Series Graph Foundation Model for network monitoring data analysis, based on spatiotemporal Graph Neural Networks (GNN). Inspired by the success of foundation models ...
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