UROP Project Listing System
 
Project Title:
Heterogeneous information network mining
Supervisor:SONG Yangqiu
Co-Supervisor:-
Quota:5
Project Description:Many real world data can be formulated as heterogeneous information network (HIN), such as social media and knowledge graph. In this project, we plan to the current HIN computation with advanced machine learning and data mining techniques. The goal is to use the HIN representation for many real applications such as link prediction and recommendation.
Course type: UROP1100 UROP2100 UROP3100 UROP4100 
Applicant's Roles:Help PhD students develop algorithms, analyze data and results, write papers. 
Applicant's Learning Objectives:Know how to work on research problems related to network data mining. 
Complexity of the project:Challenging 
 



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