Recent augmentation-based methods showed that message-passing (MP) neural networks often perform poorly on low-degree nodes, leading to degree biases due to a lack of messages reaching low-degree ...

Osi Momoh is an expert on corporate finance and accounting, bonds, trading, cryptocurrency, and much more. Osi has 10+ years of experience in the investment industry, having served as a client-facing ...

The way you endorse a check depends on how you want to use the check Kiara Taylor has worked as a financial analyst for more than a decade. Her career has involved a number of financial firms, ...

Abstract: Graph Convolutional Neural Networks (graph CNNs) have been widely used for graph data representation and semi-supervised learning tasks. However, existing graph CNNs generally use a fixed ...

This program provides the implementation of our graph transformer, named UGformer, as described in our paper, where we leverage the transformer self-attention network to learn graph representations in ...

Abstract: Recent progress in research on deep graph networks (DGNs) has led to a maturation of the domain of learning on graphs. Despite the growth of this research field, there are still important ...