These utility functions are ideal for demonstration as they comprise a number of different graph-based subproblems, and thus demonstrate the usefulness of our method over a wide range.

In this paper, based on the factorization framework, we propose a novel robust matrix completion scheme via using the truncated-quadratic loss function, which is non-convex and non-smooth, and ...

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 ...

By institutionalising muhūrta s within mathematics, the UGC is effectively telling students that astrological determinism is ...

Function and Tool Components: Easy to create custom functions and tools to support your existing workflows. GraphRAG: Seamlessly extract knowledge graphs from data to support your existing workflows.

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 ...