Intro to Graph Neural Networks

Join triple Kaggle Grandmaster, Usha Rengaraju, to learn about the basic mechanism of graph neural networks and the concepts and methods in unsupervised node outlier detection on graphs. The graph neural network (GNN) has become a dominant and powerful tool in mining graph data and is designed to encode the graph structure and learn a node’s embedding. This video discusses why GNN exists, how they are used in real-world applications, and the basic architecture of how it works.