Introduction: Social Network Analysis, Graph Theory, Game Theory
Network Science: Structural Propertis of Network, Network Models
Applications: Information Diffusion, Community Detection, Link Prediction, Temporal Network
Graph ML & its Applications: Graph Representation Learning, Node Classification, Graph Classification, Link Classification
| Offline Quiz | Assignments |
| 20% | 20% |
| Research Paper Reading | Major |
| 20% | 40% |
There will be 3 assignments mixed of coding/analytical. Best 2 will be considered for grading.
You will be given research papers to read. Based on the paper there will be activities, e.g., presentation, demonstration or implementations etc.
During campus immersion, you will required to attempt one 30min quiz with pen and paper.
Major exam will carry 40% of your grading. The questions will be mixed of objective and subjective.
Plagiarism tolerance is 7% from single source and 15% cumulative, anything more will reduce your marks as follows:
These policy will apply for any assignments, hands on and practical work. Copying from friends and internet both treated similarly.