In this paper, we propose the concept of Context-Aware Network Embedding (CANE) for the first time, which aims to learn various context-aware embeddings for a vertex according to the neighbors it interacts with.
we implement CANE on text-based information networks with proposed mutual attention mechanism, and conduct experiments on several real-world information networks.