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 ...

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 ...

These graphs explain what has happened and point to a complex picture of what has gone right and wrong with the economy over the last three years. Milk, bread, chicken, fruit, eggs, cheese ...

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 simplest way to view and download your pay stubs is through MyGCPay. Alternatively, you can also access pay stubs through Phoenix self-service and Compensation Web Application. These applications ...

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 ...