Graph structure expression plays a vital role in distinguishing various graphs. In this work, we propose a structure-sensitive graph dictionary embedding (SS-GDE) framework to transform input graphs ...

Graph-based semi-supervised learning (GSSL) has attracted great attention over the past decade. However, there are still several open problems: (1) how to construct a graph that effectively represents ...

In today’s era, when everything is going digital there is a large amount of data available. One of the versatile forms of data is news. The news is spread widely due to technological advancements and ...

A PyTorch implementation. Abstract. We introduce a new data set named WikiVitals which contains a large graph of 48k mutually referred Wikipedia articles classified into 32 categories and connected by ...