DyGCN: Dynamic Graph Embedding with Graph Convolutional Network

Zeyu Cui, Zekun Li, Shu Wu +4

Graph embedding, aiming to learn low-dimensional representations (aka. embeddings) of nodes, has received significant attention recently. Recent years have witnessed a surge of eff…