DGAKT, a subgraph-based dual-attention GNN, claims to improve knowledge tracing accuracy, AUC, and resource efficiency by capturing high-order paths in integrated student-exercise-KC graphs.
Higher-order clustering and pooling for graph neural networks
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Efficient Knowledge Tracing Leveraging Higher-Order Information in Integrated Graphs
DGAKT, a subgraph-based dual-attention GNN, claims to improve knowledge tracing accuracy, AUC, and resource efficiency by capturing high-order paths in integrated student-exercise-KC graphs.