Multi-behavioral sequential recommendation has recently attracted increasing attention.
However, existing methods suffer from two major limitations. Firstly, user preferences and …

Crowdsourcing has become a popular paradigm for collecting large-scale labeled datasets
by leveraging numerous annotators. However, these annotators often provide noisy labels …

Aiming at the problem that the GitHub platform only supports the retrieval of developers
through their usernames and it is difficult to directly obtain developers' expertise information …

Clustering holds profound significance in data mining. In recent years, graph convolutional
network (GCN) has emerged as a powerful tool for deep clustering, integrating both graph …

Universities have an important role in providing quality education to their students so they
can build a foundation for their future. However, a problem that often arises is that the …

This paper presented an approach to monitoring student learning performance based on
their assessment. The proposed information technology consists of two phases: modeling …