Norman L. Biggs, Discrete Mathematics, Oxford University Press; T H Cormen, C E Leiserson & R Rivest and C Stein, Introduction to Algorithms, Cambridge University Press; R Diestel, Graph Theory, ...

This repository contains the solution for Lab 4: Graphs and Trees, assigned for the (CSE214) Discrete Structures course.The assignment consists of three main tasks related to graphs and trees. Each ...

DDGD, discrete graph diffusion is a diffusion model that is able to generate graphs and uses a discrete categorical distribution instead of a gaussian to add noise to the graph. While this project was ...

Abstract: While state-of-the-art kernels for graphs with discrete labels scale well to graphs with thousands of nodes, the few existing kernels for graphs with continuous attributes, unfortunately, do ...

WBQ; Digital literacy Comparing discrete and continuous data. Different types of data can be used to create charts, graphs and tables. Organising information clearly helps the reader to understand ...

S. Skiena, “Implementing Discrete Mathematics: Combinatorics and Graph Theory with Mathematica,” Addison-Wesley, Reading, 1990. ... or (y, x) is an inversion of . Any graph isomorphic to is called a ...

Graph curvature and Laplacian operators form a vibrant area of research at the intersection of differential geometry and ... further bridging continuous and discrete mathematical frameworks [2].

Graph-based methods have demonstrated strong performance in multi-view clustering (MVC) due to their capability to capture complex data structures. Among these, discrete spectral embedding learning ...