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 Open access
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, 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.