CS Events

Qualifying Exam Exploring Heterogeneous Graph Learning for Multi-Task Applications
Export Event Save iCal Send to Google Calendar Send to Yahoo Calendar Send to Outlook Live Send to Microsoft Outlook Save iCal Preserve formatting in description (only supported in some calendar applications) Close Wednesday, April 16, 2025, 10:00am - 11:00am

Speaker: Xinyue Feng

Location : CoRE 301

Committee: 

Assistant Professor Desheng Zhang

Associate Professor Hao Wang

Associate Professor Yongfeng Zhang

Professor Ahmed Elgammal

Event Type: Qualifying Exam

Abstract: The heterogeneous graph is an important structure for modeling complex relational data and has received significant attention in recent research. However, applying heterogeneous graph learning in complex industrial scenarios presents several challenges stemming from data complexity, task complexity, and other factors. This presentation will explore and address the task complexity challenge, where industrial scenarios always involve multiple tasks within a heterogeneous graph, unlike public datasets that typically contain a single task. PapersInLINE Inner-Layer Information Exchange for Multi-task Learning on Heterogeneous Graphs under review KDD 2025JDE-Tree: A Tree-based Distribution Encoding Methods for Alleviating Information Degradation in Sub-sampling in Heterogeneous Graph Learning, Under Review CIKM 2025

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Contact  Associate Professor Desheng Zhang

Link: https://rutgers.zoom.us/j/5034279181?pwd=U2FFOGIwVkJJV1dHbzYxK2VTVDBiZz09