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 ...

ABSTRACT: Let G=( V,E ) be a graph. The first Zagreb index of a graph G is defined as ∑ u∈V d G 2 ( u ) , where d G ( u ) is the degree of vertex u in G . In this paper, we obtain two lower bounds ...

A PyTorch implementation of the DeFoG model for training and sampling discrete graph flows. (Please update to the latest commit. Recent fixes have been applied.) Working with directed graphs? Consider ...

Toronto, Ontario--(Newsfile Corp. - July 9, 2025) - Black Swan Graphene Inc. (TSXV: SWAN) (OTCQX: BSWGF) (FSE: R960) ("Black Swan" or the "Company") a leader in advanced materials and ...

ABSTRACT: We consider the problem of graphs characterization by its matching polynomial. In the paper, we show that P m ∪T( 1,3,n ) are determined by its matching polynomial iff m is even or 3 and n≠3 ...

Royalty-free licenses let you pay once to use copyrighted images and video clips in personal and commercial projects on an ongoing basis without requiring additional payments each time you use that ...

Our culture is experiencing a “crisis of meaning.” But we first need to be clear on what this does not mean. It does not mean that we’re lacking in information about our lives. Indeed, we obsess over ...

Knowledge graphs are reshaping how we organize and make sense of information. By connecting data points and revealing relationships between them, these powerful tools are transforming industries, from ...

Abstract: Graph learning methods have achieved remarkable performance in various domains such as social recommendation, financial fraud detection, and so on. In real applications, the underlying graph ...