MGDN: A Graph of Graphs Neural Network for Malware Detection
Apr 30, 2026·
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1 min read
Jianke Yu
Hanchen Wang
Ying Zhang
Wenjie Zhang
Lu Qin
Longbin Lai
Bo Yang
CCF-A
CAS Zone 1 Top
JCR Q1
Type
Publication
IEEE Transactions on Knowledge and Data Engineering
Status
Peer-reviewed
Awards
CCF-A
IEEE Transactions on Knowledge and Data Engineering · 2026
CAS Zone 1 Top
IEEE Transactions on Knowledge and Data Engineering · 2026
JCR Q1
IEEE Transactions on Knowledge and Data Engineering · 2026
IEEE Transactions on Knowledge and Data Engineering, 2026

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.