Graph neural networks have proved to be a key tool for dealing with many problems and domains, such as chemistry, natural language processing, and social networks. While the structure of the layers is ...

Therefore, a Tensor-based Adaptive Consensus Graph Learning (TACGL) model is proposed for addressing above problems. Specifically, all representation matrices of multiple views are stacked into a ...