Researchers have proposed a Fourier graph neural network for estimating the state of health of lithium-ion batteries while ...

The multiple condition (MC)-retention model is an uncertainty-aware graph-based neural network that predicts liquid chromatography (LC) retention times across multiple column chem ...

Abstract: In Wireless Metropolitan Area Networks (WMANs), multi-edge collaboration has emerged as a promising solution to improve user experience and service quality by offloading tasks to multiple ...

Description: 👉 Learn about graphing linear equations. A linear equation is an equation whose highest exponent on its variable(s) is 1. i.e. linear equations has no exponents on their variables. The ...

The practical application of all-solid-state sodium-ion batteries is highly desired in many industries. (Representational image)Farhoni/Noah Researchers in Japan have made a significant achievement ...

Abstract: As a well-known graph embedding method, Graph Convolutional Networks (GCNs) have been widely applied to recommendation systems and social media analysis, in which privacy concerns regarding ...

DeH4R unifies graph-growing dynamics with graph-generating efficiency through a decoupling strategy, effectively harnessing their complementary strengths, which offers great flexibility and is able to ...

Currently, the graph search functionality in mem0 uses a hardcoded system prompt for entity extraction that cannot be customized. This limits users' ability to fine-tune entity extraction for ...