Using Machine Learning algorithms to optimize the solutions to the NP-Hard problem of 'Community Detection' in social networks

Members of the team:

	Full Name	Student ID
1	Parsa Kamalipour	40310734
2	Abdulmoumen Al-Atrash	40180881
3	Aniket Roy	40266924

Selected Papers/Documents that you can start with:

• Community detection in social networks using machine learning: a systematic mapping study
• Identifying communities in complex networks using learning-based genetic algorithm
• Detecting Communities in Social Networks using Max-Min Modularity
• An enhanced evolutionary approach for solving the community detection problem
• High-performance community detection in social networks using a deep transitive autoencoder
• A Multiagent Reinforcement Learning algorithm to solve the Community Detection Problem
• Deep Learning for Community Detection: Progress, Challenges and Opportunities
• Quantum inspired community detection for analysis of biodiversity change driven by land-use conversion and climate change

Note: If you need more papers, let me (Omid Reza Heidari) know, or if you have any other related papers, feel free to add to the list.

	Stage	Deadline
1	Project Proposal* Submission	End of October
2	Project Report* Submission	3rd of December
3	Project Presentation	Last week of classes

^* The structure of the reports is outlined in the Course Outline document that the professor has been published in the Moodle.