Before revision:  We design GCC's pre-training task as subgraph-level instance discrimination in and across networks and leverage contrastive learning to empower the model to learn the intrinsic and transferable structural representations.
After revision:  We design GCC's pre-training task as subgraph-level instance discrimination in and across networks and leverage contrastive learning to empower graph neural networks to learn the intrinsic and transferable structural representations.