And like the sliding of convolutional kernels in CNNs, GNNs share weights across edges most commonly through message passing, efficiently capturing patterns across a graph. At their core, GNNs consist ...

By analysing huge amounts of biological data, the use of machine learning accelerates the identification of critical control ...

In an era where digital transformation is reshaping industries, the work of Venkatesh Nagubathula stands as a testament to the power of innovation in enterprise document automation. His research ...

This article explores the transformative role of artificial intelligence (AI) in deciphering the complex molecular and ...

In the SGG, visually grouped graphs are generated by considering edges as visual relationships between objects and nodes as object classes. Various schemes have been developed to generate scene graphs ...

Powered by Nvidia accelerated computing, it includes an integrated control node, end-to-end AI software and 32TB of ...

Intel, once a dominant force in semiconductors, has struggled over the past decade due to leadership instability and manufacturing setbacks, losing ...