Before revision:  Inspired by  recent advances in pre-training from natural language processing and computer vision, we design Graph Contrastive Coding (GCC) -- an unsupervised graph representation learning framework -- to capture the universal network topological properties across multiple networks.
After revision:  Inspired by recent advances in pre-training from natural language processing and computer vision, we design Graph Contrastive Coding (GCC) -- a self-supervised graph neural network pre-training framework -- to capture the universal network topological properties across multiple networks.