Research from all publishers Recent investigations have focused on enhancing predictive modelling and analytical frameworks that integrate graph properties with social interactions and multimedia ...

In cheminformatics, where machine learning is transforming our understanding of how molecular properties are predicted and ...

A collaborative research team led by Professor Pan Feng from the School of New Materials at Peking University Shenzhen ...

If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine ...

Graph theory is a powerful body of mathematical knowledge, based on simple concepts, in which structural units are depicted as nodes with relationships between them depicted as lines. The nodes may ...

We discuss how random graph models with local dependence can be constructed by exploiting either observed or unobserved neighbourhood structure. In the absence of observed neighbourhood structure, we ...