This paper presents an alternative representation of exergy that can be used for process design in particular for low temperature processes such as the liquefaction of natural gas. The procedure ...

Graph representation learning has re-emerged as a fascinating research topic due to the successful application of graph convolutional networks (GCNs) for graphs and inspires various downstream tasks, ...

Graph representation learning has shown superior performance in numerous real-world applications, such as finance and social networks. Nevertheless, most existing works might make discriminatory ...