A GNN framework for spatiotemporal link prediction in social learning networks outperforms baselines by jointly modeling temporal evolution within classrooms and spatial aggregation across them.
Using multiple SLNs at varying progress stages, we analyzed how SLNs develop over time and how combining multiple SLNs affects model performance
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Spatiotemporal Link Formation Prediction in Social Learning Networks Using Graph Neural Networks
A GNN framework for spatiotemporal link prediction in social learning networks outperforms baselines by jointly modeling temporal evolution within classrooms and spatial aggregation across them.