In the last few years, graph neural networks (GNNs) have emerged as a promising new supervised learning framework capable of bringing the power of deep representation learning to graph and relational data.
This is a companion discussion topic for the original entry at https://www.dgl.ai/news/2020/05/24/webconf.html