This repository is for archiving the Graph Neural Networks class (06838-01) of the Department of Artificial Intelligence at the Catholic University of Korea. This platform is dedicated to sharing and archiving lecture materials such as exercises, assignments, and sample code for the class. If you have any inquiries, please don't hesitate to contact the teaching assistants through the following email addresses.
- Instructor
- Teaching Assistants
SampleCode_*.ipynb: Code samples used in the lectures on every TuesdayPractice_*.ipynb: Practices on every ThursdayAssignments_*.ipynb: Weekly assignments (Students have to submit through e-class until the next Wednesday)Assignments_*_solution.ipynb: Solutions for the assignments (will be uploaded after the deadline)
Please make sure to submit all assignments through the online learning platform before the designated deadline. Grading for assignments will be based on a scale of A (10 points), B (8 points), C (6 points), and F (0 points) for any assignments that are not submitted on time.
Late submissions will be accepted, but the maximum grade that can be achieved for any assignments submitted after the deadline is B (8 points).
The syllabus for this class can be found on the following Notion page.
