Lectures
- Introduction to Network Science
- Descriptive Analysis
- Network Modelling
- Role of Centrality in Networks
- Community detection in Social Networks
- Information diffusion and Epidemics
- Influence propagation and Influence Maximization
- Machine Learning
- Link prediction in Social Networks
- Deep learning techniques for social networking: Graph Embedding, Graph Neural Networks.
- Knowledge Graphs
- Social Recommender Systems (Inferring social relationships + GraphSAGE)
- Big data and scalability in (Social) Networks
- Project and Paper Presentation
- Project and Paper Presentation
- Project and Paper Presentation