Deep Learning on Graphs

Introduction to Graphs; Introduction to Deep Learning; Algorithms for Node Embeddings (random walk baed methods, deep learning based methods); Algorithms for Graph Embeddings; Graph Neural Networks (message passing framework, aggregation, deep learning); Graph Convolution Networks; Graph Attention Networks; Graph Autoencoders; Graph Transformers; Scaling GNNs; Applications of GNNs (node classification, link prediction, graph classification, community detection, etc.).