3 accepted papers
Concept prerequisite relations determine the learning order of knowledge concepts in one domain, which has an important impact on teachers' course design and students' personalized learning. Current research usually predicts concept prerequisite relations from the perspective of knowledge, and rarel
Unsupervised graph anomaly detection aims to identify nodes that deviate from typical behaviors in graphs. Existing approaches can be briefly categorized into two main groups, namely, reconstruction-based approaches that detect anomalies through reconstruction errors, and contrastive learning-based…
Learning concept prerequisite relations helps better master and build a logically coherent knowledge structure. Many studies use graph neural networks to create heterogeneous knowledge networks that enhance concept representations. However, different types of relations in these networks can influenc…