This section focuses on the key features and methods for working with linear graphs. It demonstrates how to sketch graphs from rules, derive rules from graphs, and calculate key features such as the ...

Abstract: Many graph-based algorithms in high performance computing (HPC) use approximate solutions due to having algorithms that are computationally expensive or serial in nature. Neural acceleration ...

Abstract: Graph-based methods pervade the inference toolkits of numerous disciplines including sociology, biology, neuroscience, physics, chemistry, and engineering. A challenging problem encountered ...

Struct2GO is a protein function prediction model based on self-attention graph pooling, which utilizes structural information from AlphaFold2 to augment the accuracy and generality of the model's ...

The rapid accumulation of protein sequence data, coupled with the slow pace of experimental annotations, creates a critical need for computational methods to predict protein functions. Existing models ...

Department of Gastroenterology, The Second Medical Center and National Clinical Research Center for Geriatric Diseases, Chinese Peoples Liberation Army (PLA) General Hospital, Beijing, China ...

A research team from the Hong Kong University of Science and Technology (HKUST) has developed a novel AI-powered tool named ...

Understanding the brain's functional architecture is a fundamental challenge in neuroscience. The connections between neurons ...

Find out how a digital technique performs multiplication on two bitstreams and avoids the cost of the analog multiplier.

The latest update is out from CSC Holdings Limited ( (SG:C06) ).

Grok Code Fast 1 is available to test via GitHub Copilot, Cursor, Cline, Kilo Code, Windsurf, and similar platforms.