Attributed network embedding based on self-attention mechanism for recommendation method
Shuo Wang,
Jing Yang,
Fanshu Shang
Abstract:Network embedding is a technique used to learn a low-dimensional vector representation for each node in a network. This method has been proven effective in network mining tasks, especially in the area of recommendation systems. The real-world scenarios often contain rich attribute information that can be leveraged to enhance the performance of representation learning methods. Therefore, this article proposes an attribute network embedding recommendation method based on self-attention mechanism (AESR) that cate… Show more
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