Technical Workshop Series
Link Prediction in Networks (1st Offering)
Presenter: Nahid Abdolrahmanpour
Date: Friday, August 2nd, 2024
Time: 1:00 pm
Location: 4th Floor at 300 Ouellette Avenue (School of Computer Science Advanced Computing Hub)
Abstract:
Link prediction is crucial in network analysis, with applications ranging from social networks and recommendation systems to biological networks. This workshop aims to provide a comprehensive understanding of link prediction techniques, spanning from traditional heuristic methods to advanced machine learning and graph neural networks (GNNs). Through lectures and discussions, participants will gain practical experience and insights into state-of-the-art methods in link prediction.
Workshop Outline:
·Introduction to Link Prediction
·Traditional Methods
·Advanced Methods
·Evaluation Metrics
·Challenges and Future Directions
·Practical Sessions
·Q&A and Discussion
·Closing Remarks
Prerequisites:
- Basic Python Knowledge
- Machine Learning Understanding
- Graph Theory Basics
- Software and Tools
Biography:
Nahid Abdolrahmanpour (Ph.D. Student in Computer Science) at the University of Windsor, With a solid foundation in Data Mining and Artificial Intelligence.
Research Focus: Social Network Analysis
Nahid has earned a master's degree in computer science, specializing in Data Mining.