Started learning XCS224W Machine Learning with Graphs
Started Stanford Coursework for ML with Graphs
  • Graph neural networks
  • Representation learning
  • Node embeddings and classification
  • Link analysis for networks
  • Graph structure of the web
  • Models of network evolution and network cascades
  • Reasoning over knowledge graphs
  • Deep generative models for graphs
  • Influence maximization in networks
  • Communities and clusters in networks