Researchers from Universidad Politécnica de Madrid are involved in the development of a new method of graphic representation of neurons that allows us to visualize the ... Type 1 Diabetes; Cold ...

With the rapid emergence of graph representation learning, the construction of new large-scale datasets are necessary to distinguish model capabilities and accurately assess the strengths and ...

With the extensive research of knowledge graph in academia and the practical application in industry, knowledge representation learning of knowledge graph has become a hot research topic in the field ...

Such local reasoning can be beneficial because it may not be necessary to determine whether a particular dependency is causal to make a decision. Also in this paper, we examine the graphical encoding ...

The high accuracy and robustness of the model substantiate the effectiveness of the proposed method in ship type recognition. This research illustrates that GIN-based graph representation learning can ...

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 ...