Sick of your slides? Let Gemini make them - here's how

ZDNET's key takeaways Google's October Gemini Drop includes upgrades to Gemini Canvas.Explain a topic or upload images for ...
IEEE

LGNet: Linear Graph Representation for Efficient Cold-Start Recommendations

Abstract: Graph Convolutional Networks (GCNs) demonstrate significant potential in recommendation systems but face difficulties with the cold-start problem, especially in integrating new nodes during ...
Monash University

Solving linear equations and inequalities

Linear functions are used to model a broad range of real-world problems. The ability to solve linear equations and inequalities is an essential skill for analysing these models. This section covers ...
IEEE

A Global-Local Graph Attention Network for Deformable Linear Objects Dynamic Interaction With Environment

Abstract: Accurately modeling the interactions between deformable linear objects (DLOs) and their environments is crucial for active deformation control by robot manipulators. Graph Neural Networks ...
World Scientific

Algorithms, Graph Theory, and Linear Equations in Laplacian Matrices

This material is based upon work supported by the National Science Foundation under Grant Nos. 0634957 and 0915487. Any opinions, findings, and conclusions or recommendations expressed in this ...
C&EN

End-to-End Modeling of Reaction Field Energy Using Data-Driven Geometric Graph Neural Networks

Electrostatic interactions are fundamental to the structure, dynamics, and function of biomolecules, with broad applications in protein–ligand binding, enzymatic catalysis, and nucleic acid regulation ...