DyGCN: Dynamic Graph Embedding with Graph Convolutional Network

Understand

Graph embedding, aiming to learn low-dimensional representations (aka.

• embeddings) of nodes, has received significant attention recently.
• Recent years have witnessed a surge of efforts made on static graphs, among which Graph Convolutional Network (GCN) has emerged as an effective class of models.
• However, these methods mainly focus on the static graph embedding.