4 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.GR2025
Empowering LLMs with Structural Role Inference for Zero-Shot Graph Learning
Heng Zhang, Jing Liu, Jiajun Wu +8
Large Language Models have emerged as a promising approach for graph learning due to their powerful reasoning capabilities. However, existing methods exhibit systematic performance…
cs.LG2023★ 4 cited
Graph-based Knowledge Distillation: A survey and experimental evaluation
Jing Liu, Tongya Zheng, Guanzheng Zhang +1
Graph, such as citation networks, social networks, and transportation networks, are prevalent in the real world. Graph Neural Networks (GNNs) have gained widespread attention for t…
cs.LG2022
HIRE: Distilling High-order Relational Knowledge From Heterogeneous Graph Neural Networks
Jing Liu, Tongya Zheng, Qinfen Hao
Researchers have recently proposed plenty of heterogeneous graph neural networks (HGNNs) due to the ubiquity of heterogeneous graphs in both academic and industrial areas. Instead…