They comprise data from the analyses of social and communication networks, predictions of traffic, and fraud detection. Graphbased Deep Learning (DL) aims to construct and train graph datasets attuned ...

In recent years, graph neural network is used to process graph data and has been successfully applied to graph node classification task. Due to the complexity of graph structure and the difficulty of ...

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 ...