๐ Paper published in IEEE TKDE (2026)
Sep 13, 2026
ยท
1 min read
SARL: A Scalable Attribute-Informed Representation Learning Framework for Bipartite Graphs is published in IEEE Transactions on Knowledge and Data Engineering (TKDE) (2026).
DOI: 10.1109/TKDE.2026.3735058 ยท IEEE Xplore

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 โ 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.