Abstract: Graph representation learning is a fundamental research theme and can be generalized to benefit multiple downstream tasks from the node and link levels to the higher graph level. In practice ...

Abstract: 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 ...

An introduction to discrete mathematics, including combinatorics and graph theory. The necessary background tools in set theory, logic, recursion, relations, and functions are also included. Masters ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. This application note presents gmx_ffconv, a command-line tool developed to facilitate ...