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 ...

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 ...

ABSTRACT: Graph burning is a model to describe the spread of social influence. In 2023, Song et al. proposed the Independent Cascade Graph Burning model, where a vertex v can be burned by its burning ...

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 ...

Illinois has long been a hub for innovation. Our strategic location in the heart of the Midwest amidst a robust network of top-tier universities and a rich legacy of collaboration among private, ...

Download PDF More Formats on IMF eLibrary Order a Print Copy Create Citation This Technical Assistance report on Republic of Kazakhstan discusses details of National Accounts Statistics mission. The ...

Cumulative Distribution Function, or CDF, is a useful statistical tool that helps to understand the probability distribution of a random variable. It is particularly helpful in analyzing the ...