Graphs

Graph-based methods

Learning on Graphs

  • Community detection in Hypergraphs & in time evolving graphs
  • Community evolution prediction with structural and content features
  • Multi-relational & heterogeneous graphs analysis
    • link prediction in multi-layered biomedical networks
  • Graph representations
    • benchmarking of node embedding methods in single/multirelational biological networks
  • Graph Neural Networks and Power-law Graphs
  • Data Imputation with Graph Neural Networks