Information Package / Course Catalogue
| Course Code | : MCS513 |
| Course Type | : Area Elective |
| Couse Group | : Second Cycle (Master's Degree) |
| Education Language | : English |
| Work Placement | : N/A |
| Theory | : 3 |
| Prt. | : 0 |
| Credit | : 3 |
| Lab | : 0 |
| ECTS | : 6 |
The objectives of the course is to understand where graphs are being used, why they are important and what new applications exisits for graph mining. Graph neural networks will be discussed for their compatibility with machine learning techniques in graph mining.
The cource is intended to provide an introduction to the broad and rising topic of graph mining with a focus on challanges, algoritmic solutions and new problems.
| 1. | Database methods; graph querying. |
| 2. | Community and anomaly detection |
| 3. | Graph summarization |
| 4. | Core concepts about graph neural networks |
| 5. | Knowledge graph use in graph neural networks |
| 1. | Aggarwal, C.C. and Wang, H. eds., 2010.Managing and mining graph data (Vol. 40). New York: Springer |
| 2. | Chakrabarti, D. and Faloutsos, C., 2012. Graph mining: laws, tools, and case studies. Synthesis Lectures on Data Mining and Knowledge Discovery, 7(1), pp.1-207. |
| 3. | Hamilton, William L. 2020. Graph Representation Learning. Synthesis Lectures on Artificial Intelligence and Machine Learning. Morgan and Claypool. |
| Type of Assessment | Count | Percent |
|---|---|---|
| Attending Lectures | 1 | %5 |
| Assignment | 1 | %10 |
| Midterm Examination | 1 | %15 |
| Final Examination | 1 | %70 |
| Activities | Count | Preparation | Time | Total Work Load (hours) |
|---|---|---|---|---|
| Lecture - Theory | 14 | 2 | 3 | 70 |
| Assignment | 14 | 1 | 2 | 42 |
| Individual Work | 14 | 0 | 1 | 14 |
| Midterm Examination | 1 | 8 | 3 | 11 |
| Final Examination | 1 | 10 | 5 | 15 |
| TOTAL WORKLOAD (hours) | 152 | |||
PÇ-1 | PÇ-2 | PÇ-3 | PÇ-4 | PÇ-5 | PÇ-6 | PÇ-7 | PÇ-8 | PÇ-9 | |
OÇ-1 | 3 | 3 | 3 | 3 | 5 | 3 | 5 | 3 | 3 |
OÇ-2 | 4 | 4 | 4 | 3 | 5 | 4 | 3 | 4 | 3 |
OÇ-3 | 3 | 3 | 5 | 5 | 5 | 4 | 3 | 5 | 5 |
OÇ-4 | 5 | 4 | 5 | 4 | 4 | 4 | 5 | 5 | 4 |
OÇ-5 | 3 | 3 | 3 | 3 | 4 | 3 | 4 | 3 | 3 |