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.
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.