YoutubeGraph-Dyn
Introduced by Chhetri et al. in Tracking Temporal Evolution of Graphs using Non-Timestamped Data
YoutubeGraph-Dyn is an evolving graph dataset generated from YouTube real-world interactions. It can be used to study temporal evolution on graphs. YoutubeGraph-Dyn provides intra-day time granularity (with 416 snapshots taken every 6 hours for a period of 104 days), multi-modal relationships that capture different aspects of the data, multiple attributes including timestamped, non-timestamped, word embeddings, and integers.
Papers
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