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Found 3 papers, 2 papers with code
A Temporal Graphlet Kernel for Classifying Dissemination in Evolving Networks
We introduce the \emph{temporal graphlet kernel} for classifying dissemination processes in labeled temporal graphs.
Temporal Walk Centrality: Ranking Nodes in Evolving Networks
We propose the Temporal Walk Centrality, which quantifies the importance of a node by measuring its ability to obtain and distribute information in a temporal network.
Temporal Graph Kernels for Classifying Dissemination Processes
Hence, we confirm that taking temporal information into account is crucial for the successful classification of dissemination processes.
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