Topological based classification using graph convolutional networks

no code implementations • 26 Oct 2019 • Roy Abel, Idan Benami, yoram louzoun

First, we show that even in the absence of any external information on nodes, a good accuracy can be obtained on the prediction of the node class using either topological features, or using the neighbors class as an input to a GCN.

Classification General Classification

Topological based classification of paper domains using graph convolutional networks

no code implementations • 10 Apr 2019 • Idan Benami, Keren Cohen, Oved Nagar, yoram louzoun

The main approaches for node classification in graphs are information propagation and the association of the class of the node with external information.

Classification General Classification +1