Generative models are being increasingly used in science and industry applications.

However, compared with the huge success of generative models in natural language processing [Tou-vron et al., 2023] and computer vision [Rombach et al., 2021], graph generation is faced with many

This work takes one step towards data encryption by incorporating some crucial ingredients of learning algorithm.

Computational intensiveness of deep learning has motivated low-precision arithmetic designs.

The focus of our work is on diagnostic tasks in personalized learning, such as cognitive diagnosis and knowledge tracing. The goal of these tasks is to assess students'