IFGNN: An Individual Fairness Awareness Model for Missing Sensitive Information Graphs

Nov 6, 2023·
Kejia Xu
,
Zeming Fei
Jianke Yu
Jianke Yu
,
Yu Kong
,
Xiaoyang Wang
,
Wenjie Zhang
· 1 min read
Type
Publication
Australasian Database Conference
Status
Peer-reviewed
publications

Australasian Database Conference, 2023

Jianke Yu
Authors
Jianke Yu (he/him)
PhD (2026) in Graph Machine Learning & Databases
I completed my PhD at the University of Technology Sydney (UTS) in 2026, supervised by Prof. Ying Zhang, A/Prof. Lu Qin and Dr Hanchen Wang. My research develops machine learning algorithms for graph-structured data and database systems — graph neural network architectures, and learning-based methods that improve database and data-mining algorithms (fraud detection, graph similarity, supergraph search, malware detection). My work has appeared in KDD and IEEE TKDE. I am joining Zhejiang Gongshang University as a faculty member in 2027.