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Found 3 papers, 1 papers with code
Improving Cognitive Diagnosis Models with Adaptive Relational Graph Neural Networks
Typically, these CD algorithms assist students by inferring their abilities (i. e., their proficiency levels on various knowledge concepts).
Graph-based Exercise- and Knowledge-Aware Learning Network for Student Performance Prediction
Predicting student performance is a fundamental task in Intelligent Tutoring Systems (ITSs), by which we can learn about students' knowledge level and provide personalized teaching strategies for them.
Learning Fair Representations for Recommendation: A Graph-based Perspective
For each user, this transformation is achieved under the adversarial learning of a user-centric graph, in order to obfuscate each sensitive feature between both the filtered user embedding and the sub graph structures of this user.
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