On Node Features for Graph Neural Networks

Understand

Graph neural network (GNN) is a deep model for graph representation learning.

• One advantage of graph neural network is its ability to incorporate node features into the learning process.
• However, this prevents graph neural network from being applied into featureless graphs.
• In this paper, we first analyze the effects of node features on the performance of graph neural network.