manuel-dileo/dynamic-gnn
Pytorch implementation of a dynamic gnn based on Roland framework
This project helps social network analysts and researchers predict new connections between users in online social networks. It takes historical data about who connected with whom, when, and the text content they shared, and outputs predictions about future links. Researchers studying social network evolution and behavior would find this valuable.
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Use this if you need to predict new relationships or interactions in dynamic online social networks, especially when textual content from users is available and changes over time.
Not ideal if your network data is static, doesn't include temporal information, or lacks textual attributes, as the model's strengths lie in handling these dynamic and rich datasets.
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Jun 23, 2025
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