Mid-term Exam

Type: Oral Presentation

Scope:

• Lecture Materials: All topics covered from Week 1 to Week 7
• Research Focus: Individual area of interest or current research field
• Topic Constraint: Strictly limited to Graph Neural Networks (GNNs)

Presentation & Submission Rules:

• Time Limit: 15 minutes per person. (The presentation must be completed strictly within this time limit).
• Slide Count: No limit on the number of slides, as long as the presentation fits within the 15-minute limit.
• Format: Only .pptx or .pdf files are accepted.
• Submission: Email your presentation slides to the professor (kafa46@hongik.ac.kr) immediately after your presentation.

Evaluation Criteria:

• Understanding of Subject: Depth of knowledge regarding Graph Neural Networks and covered lecture content.
• Clarity of Delivery: Organization, logical flow, and strict adherence to the 15-minute time limit.
• Research Relevance: How effectively GNN concepts are applied to your specific area of interest or research.
• Q&A Responsiveness: Ability to provide clear, accurate, and insightful answers to questions.

Class Materials:

• Lecture slides will not be provided by the professor for this exam.
• Students must bring and prepare their own presentation materials