🌐 Edge#197: Types of Graph Learning Tasks
In this issue:
we overview the types of graph learning tasks;
we dive into the original GNN paper;
we explore Deep Graph Library, a framework for implementing GNNs.
Enjoy the learning!
💡 ML Concept of the Day: Types of Graph Learning Tasks
Continuing with our series about graph neural networks (GNNs), we would like to discuss the different learning tasks that can be performed with this neural network structure. As discussed in Edge#195, GNNs represent a learning problem as a graph structure that describes the relationships between the different constructs in a dataset. The specific type of graph in a GNN is highly optimized for a learning task. There are three fundamental learning tasks that are tackled by modern GNNs: