Graph representation learning has been extensively studied in recent years. It has been proven effective in network analysis and mining tasks such as node classification and link prediction. Learning ...

Next, the fuzzy adjacency matrix and the fuzzy contextualized representation are concatenated to create the final representation and fed into GCN layers to capture the high-level features of the ...

By learning the relevant features of clinical images along with the relationships between them, the neural network can outperform more traditional methods.

This important study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It provides ...

The Center for Transyouth Health and Development at Children’s Hospital Los Angeles will close its doors July 22.

In its official statement, the agency noted, “The National Testing Agency (NTA) is in receipt of various representations from ...