Abstract: This paper proposes a subgraph-aware classification framework that integrates efficient frequent subgraph mining with graph neural networks (GNNs) to address the limitations of existing GNNs ...
Abstract: Understanding students’ learning styles is a crucial component in comprehending the learning process. This study aims to develop a learning style classification model based on essay texts ...
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