A Step-by-Step Guide Nursing maintains its reputation as a rewarding and fulfilling career despite the number of nurses ...

To bridge this gap, we proposed Unsupervised Dynamic graph neural network, an unsupervised framework for inductive node representation learning on Discrete-Time Dynamic Graphs (DTDGs). Our key ...

To solve these issues, in this article, we propose a new dual consistency constraint-based self-supervised representation learning method for heterogeneous graphs with missing attributes. Specifically ...

Linear graphs are straight-line graphs that visually represent a constant rate of change in the relationship between two variables, showing how one changes in response to the other. They are expressed ...