im0qianqian/WSDM2022TGP-AntGraph
the 1st place of WSDM 2022 Challenge (Temporal Link Prediction)
This project helps data scientists and machine learning engineers predict future connections within a network over time. By taking a dataset of existing network interactions and node characteristics, it can output predictions about which new links are likely to form. This is useful for anyone working with dynamic networks, such as social graphs or recommendation systems, who needs to anticipate future relationships.
No commits in the last 6 months.
Use this if you need to predict future interactions or connections between entities in a network that changes over time.
Not ideal if your network data is static and does not involve temporal changes or if you are looking for simple descriptive analytics rather than predictive modeling.
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13
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10
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Jun 17, 2023
Commits (30d)
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