Examples for applications of learning on graphs - social media, chemistry

 Graph Laplacian and spectrum of graphs

 Convolutional Neural Networks on graphs

 Learning representations for graphs - graph auto encoders

  Recurrent neural networks on graph - predict time evolution of subgraph