This course provides an introduction to discrete mathematics, particularly graph theory. Emphasis will be placed on the algorithmic aspects of the area. Topics to be covered include: Brief ...

Welcome to the official repository of the Discrete Graph Auto-Encoder (DGAE)! This repository contains the source code for the VQ-GAE, a powerful autoencoder for graph data that uses vector ...

To address the previously mentioned issue, we present a novel model in this paper, namely Graph Linear Convolution Pooling Network (GLCPN). The proposed GLCPN adopts the three-fold ideas. First, it ...

Gao, X., Luo, Y. and Liu, W. (2012) Kirchhoff Index in Line, Subdivision and Total Graphs of a Regular Graph. Discrete Applied Mathematics, 160, 560-565.

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 ...

This course provides an introduction to discrete mathematics, particularly graph theory. Emphasis will be placed on the algorithmic aspects of the area. Topics to be covered include: Brief ...