Chances are you know the climate is changing and that means trouble. But what exactly is driving the climate crisis, how bad are things now and how much worse could they get? To answer those questions ...

Many middle school math students stumble over a deceptively simple question: What does a negative slope actually mean? By inviting students to not just see a line but hear it, teachers can help ...

We therefore argue for an expanded power lens in implementation science—one that brings into view the multiple and intersecting forms of power that shape what gets implemented, by whom, and for whose ...

Graph theory is a foundational area of mathematics and computer science that deals with the study of graphs structures made up of nodes (also called vertices) and edges that connect pairs of nodes. In ...

Genomic medicine relies on single reference genomes that miss crucial genetic diversity, creating diagnostic gaps that disproportionately affect underrepresented populations. Pangenome graphs, ...

The sparsity of causal interpretation in medical sciences 1,2,3 and the need to utilize it using high-throughput genomic and transcriptomic data, combined with the wider availability of computational ...

Abstract: An undirected weighted graph (UWG) is the fundamental data representation in various real applications. A graph convolution network is frequently utilized for representation learning to a ...

Abstract: This paper presents a novel approach to graph learning, GL-AR, which leverages estimated autoregressive coefficients to recover undirected graph structures from time-series graph signals ...

Graph neural networks (GNN) have achieved remarkable success in various domains, yet incomplete node attribute data can significantly impair their performance. Graph completion learning (GCL) methods ...

Check approxCCDegree.cpp for the code, and sample.cpp for a sample implementation. Let n u be the number of nodes in the connected component where the node u is located. The number of connected ...