Welcome to the Graph Mining (06837-01) class repository for the Department of Artificial Intelligence at the Catholic University of Korea. This platform is dedicated to sharing and archiving lecture materials such as practices, assignments, and sample codes for the class. If you have any inquiries, please don't hesitate to contact the teaching assistants through the following email addresses.
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).
Grading for the term project will be based on a scale of A (50 points), B (40 points), C (30 points), and F (0 points) for all projects not submitted on time. Please be sure to submit your codes, analysis results, and reports via the following Kaggle competition before the deadline.
The syllabus for this class can be found on the following Notion page.
- Instructor
- Teaching Assistants
