Recent advances in Graph Convolutional Neural Networks (GCNNs) have shown their efficiency for nonEuclidean data on graphs, which often require a large amount of labeled data with high cost. It it ...

This section focuses on the key features and methods for working with linear graphs. It demonstrates how to sketch graphs from rules, derive rules from graphs, and calculate key features such as the ...

By developing a linear algebraic analogue of the individualisation technique and demonstrating its usefulness in the average-case setting, the main result opens up the possibility of adapting that ...

A linear relationship (or linear association) is a statistical term used to describe the directly proportional relationship between a variable and a constant.

Official implementation of Discrete Diffusion Schrödinger Bridge Matching for Graph Transformation by Jun Hyeong Kim*, Seonghwan Kim*, Seokhyun Moon*, Hyeongwoo Kim*, Jeheon Woo*, Woo Youn Kim. [arXiv ...

At the 2025 World Intelligent Industry Expo, most car companies focused on showcasing and promoting new models. In contrast, ...

At the 2025 World Intelligent Industry Expo, most automotive companies focused on showcasing and promoting new models. In ...

A shocking graph published on Aug. 2 showed the dismal state of the American dream in just one simple visual. The now-viral graph, shared on social media by Nathan Halberstadt, the chief of staff ...

A. W. Goodman, On the Schwarz-Christoffel Transformation and p-Valent Functions, Transactions of the American Mathematical Society, Vol. 68, No. 2 (Mar., 1950), pp ...

A dot plot or dot chart consists of data points plotted on a graph. The Federal Reserve uses dot plots to show its predicted interest rate outlook.