Graph Convolutional Networks in Action
Published in
6 min readJun 14, 2020
Graphs are seen in many real life scenarios, from social network connections to high level genetic engineering. They have gained prosperous spread because of its applicability and adaptivity. Graphs enable us to capture the underlying relationship in the data. We’re going to see how graphs have changed and constantly making changes to how we approach many Deep Learning problems.
Let’s have a look at the following image.