Abstract: Graph Neural Networks (GNNs) are proposed without considering the agnostic distribution shifts between training graphs and testing graphs, inducing the degeneration of the generalization ...

This paper addresses the challenging task of attributed graph clustering, and presents a new deep attributed graph clustering approach called Global and Local Topology-Aware Contrastive Graph ...

Inferring road graphs from satellite imagery is a challenging computer vision task. Prior solutions fall into two categories: (1) pixel-wise segmentation-based approaches, which predict whether each ...

The authors have used Grammarly and mindthe graph to create image and improve readability and language. After using this tool/service, the authors reviewed and edited the content as needed and took ...

Research conducted by Facts4EU showed that the previous Erasmus+ exchange was a one-way street when it came to migration flows. Erasmus+ was used by only 9,993 UK students in the pre-Covid year of ...

Markov Affinity-based Graph Imputation of Cells (MAGIC) is an algorithm for denoising high-dimensional data most commonly applied to single-cell RNA sequencing data. MAGIC learns the manifold data, ...

The microbiome field is constantly providing insight on various health-related properties elicited by the commensals that inhabit their mammalian hosts. Harnessing the potential of these commensals ...

The first 100 days of Donald J. Trump’s second presidency have been a study of extremes, especially when compared with the start of presidential terms over the last century. Compared with other ...

State Key Laboratory of Medicinal Chemical Biology, Tianjin Key Laboratory of Molecular Recognition and Biosensing, Frontiers Science Center for New Organic Matter, College of Chemistry, Nankai ...

An index is a measure (often a numerical value) that can be representative of a particular pattern or state of a system. Climatologists monitor several indices, some ocean-based and some atmospheric, ...