Graph Neural Networks / Fall 2026
Course Description
Graph Neural Networks class (06838-01) of the Department of Artificial Intelligence at the Catholic University of Korea. This site archives the lecture materials of the class, such as sample code, practices, assignments, and solutions.
All materials (sample code, practices, assignments, and solutions) are archived in the GitHub repository. The week-by-week topics are on the Course Plan page, and the full syllabus is on Notion.
Weekly Routine
- Tuesday, periods 2–3 (10:00–11:50): lecture with sample code (
SampleCode_*.ipynb) - Thursday, period 3 (11:00–11:50): practice session (
PracticeCode_*.ipynb) and the weekly assignment is released (Assignment_*.ipynb) - Next Wednesday: assignment due on e-class. Solutions are uploaded after the deadline.
See the Schedule for the calendar and all materials.
Assignments
Submit every assignment through e-class before the deadline. Assignments are graded A (10 points), B (8 points), C (6 points), or F (0 points if not submitted on time). Late submissions are accepted, but the maximum grade for a late submission is B (8 points).
Contact
If you have any questions, please contact the teaching staff.
- Instructor: Prof. O-Joun Lee — ojlee@catholic.ac.kr
- Teaching Assistants:
