MP3a.2

Pareto-Optimal Multi-Objective Learning over Graphs is Capable of Attaining Perfect Resource-Fairness: A Primal-Dual Min-Max Optimization Approach

Sangwoo Park, King's College London, United Kingdom; Stefan Vlaski, Imperial College London, United Kingdom; Lajos Hanzo, University of Southampton, United Kingdom
Session:
MP3a: Trustworthy Learning over Graphs Lecture
Track:
Networks and Graphs
Location:
Scripps
Presentation Time:
Mon, 27 Oct, 13:55 - 14:20 PT (UTC -7)
Presentation
Discussion
Resources
No resources available.
Session MP3a
MP3a.1: Degree Bias in Graph Transformers
Oyku Deniz Kose, Yanning Shen, University of California, Irvine, United States
MP3a.2: Pareto-Optimal Multi-Objective Learning over Graphs is Capable of Attaining Perfect Resource-Fairness: A Primal-Dual Min-Max Optimization Approach
Sangwoo Park, King's College London, United Kingdom; Stefan Vlaski, Imperial College London, United Kingdom; Lajos Hanzo, University of Southampton, United Kingdom
MP3a.3: Simultaneous Detection of Anomalous Nodes and Edges in Graphs
Abdullah Karaaslanli, Selin Aviyente, Panagiotis Traganitis, Michigan State University, United States
MP3a.4: Fairness-aware dense subgraph discovery
Aritra Konar, KU Leuven, Belgium
Contacts