Before revision: Graph representation learning aims to learn low-dimensional node embeddings for graphs . It is used in several real-world applications such as social network analysis and large-scale recommender systems.
After revision: Deep learning on graphs has attracted tremendous attention from the graph learning community in recent years. It has been widely used in several real-world applications such as social network analysis and large-scale recommender systems.