3 papers
cs.LG2025
HeteroHBA: A Generative Structure-Manipulating Backdoor Attack on Heterogeneous Graphs
Honglin Gao, Lan Zhao, Junhao Ren +2
Heterogeneous graph neural networks (HGNNs) have achieved strong performance in many real-world applications, yet targeted backdoor poisoning on heterogeneous graphs remains less s…
cs.LG2025
HeteroBA: A Structure-Manipulating Backdoor Attack on Heterogeneous Graphs
Honglin Gao, Xiang Li, Lan Zhao +1
Heterogeneous graph neural networks (HGNNs) have recently drawn increasing attention for modeling complex multi-relational data in domains such as recommendation, finance, and soci…
cs.CL2024
A Unified Framework to Classify Business Activities into International Standard Industrial Classification through Large Language Models for Circular Economy
Xiang Li, Lan Zhao, Junhao Ren +4
Effective information gathering and knowledge codification are pivotal for developing recommendation systems that promote circular economy practices. One promising approach involve…