In the paper, author considers a new method for constructing the quasi-equilibrium thermodynamics of a system of ...

Graph learning-based multi-modal integration and classification is one of the most challenging tasks for disease prediction. To effectively offset the negative impact among modalities in the process ...

We believe that Omnicom has a narrow moat attributable to intangible assets. Intangible assets are derived from decades of granular data on omnichannel and global marketing campaign performance, ...

Publicis, the largest of the traditional advertising holding companies, is vertically integrated, providing creative media planning, and reputation management solutions to brand owners. Before the ...

Researchers from the National University of Singapore (NUS) have solved a 60-year-old mystery in bacterial cell envelope ...

Learn how to detect, avoid, or exploit negative cycles or weights in graph algorithms, and what are some common applications and techniques for shortest paths and maximum flows.

The relation can be described algebraically by a two variable function or equation. But it is often useful to represent the relation in a two-dimensional graph. Such a graph is known as a scatter ...

The method first constructs a heterogeneous graph that covers the protein-protein interaction network, ontology structure, and positive and negative annotation information. Then, it learns embedding ...