Capture relationships between data sets by graphing linear equations in Microsoft Excel 2007. Linear equations allow you to predict values within your data set and view the overall trend.

Using Linear Graph Theory and the Principle of Orthogonality to Model Multibody, Multi-Domain Systems. Title: Using Linear Graph Theory and the Principle of Orthogonality to Model Multibody, ...

Large-scale computations on networks and graphs arise in many areas of modern data science. Graph theory and linear algebra are of course intimately linked. This minisymposium will highlight tools ...

Nowadays, graph convolution networks are getting more and more attention in the field of hyperspectral image classification. The graph convolution can be divided into long-range and short-range graph ...

The researchers conducted experiments on synthetic Erdős-Rényi random graphs of varying sizes to illustrate the scalability advantages further. Here, AnchorGT exhibited near-linear memory scaling ...

Non-linear Opto-Electrical Transfer Functions for High Dynamic Range Television. White Paper WHP 283. Download. Published: 29 July 2014. Abstract.

The creative Graph-Mamba block (GMB) achieves advanced sparsification by combining a Mamba module’s selection mechanism with a node prioritization approach, ensuring linear-time complexity. This ...

This paper presents a new Graph Neural Network (GNN) type using feature-wise linear modulation (FiLM). Many standard GNN variants propagate information along the edges of a graph by computing ...

The primary purpose of this repository is to provide implementations of the edge addition planar graph embedding algorithm and related algorithms, including a planar graph drawing method, an isolator ...