Graph-CoT is an iterative framework, where one iteration corresponds to one step on the graph. Each iteration in Graph-CoT consists of three sub-steps: Reasoning: LLMs propose what conclusion we can ...

With the continuous extension of the Industrial Internet, cyber incidents caused by software vulnerabilities have been increasing in recent years. However, software vulnerabilities detection is still ...

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, i.e., ...

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 ...

Home | Mathematics | Linear functions, graphs and equations | Graphing linear functions Graphing linear functions This section focuses on the key features and methods for working with linear graphs.

Welcome to follow the latest overview research on research intelligent agents brought by the Institute of Automation, Chinese ...

Some aspects of fractional calculus of zeta functions along with application of Shannon entropy has been discussed in [8]. The dimer problem and Huckel’s theory are two examples of usage of graph ...

It will be useful to regulate AI, but primarily at the application level. For example, AI applications to medical diagnosis should be regulated very differently from AI applications to self-driving ...