3 papers
cs.AI2026
PromptGNN-sim: Deep Fusion and Alignment of GNN and LLMs for Text-Attributed Graph Learning
Zhifei Hu, Alexandra I. Cristea
Text-Attributed Graphs (TAGs) combine textual semantics with graph structure and are central to many graph learning tasks. However, existing fusion methods often treat text and str…
cs.IR2026
Multi-Level Graph Attention Network Contrastive Learning for Knowledge-Aware Recommendation
Zhifei Hu, Feng Xia
In recent years, the use of edge information provided by knowledge graphs together with the advantages of higher-order connectivity in graph neural networks for recommendation syst…
cs.IR2025
Dynamic Knowledge Selector and Evaluator for recommendation with Knowledge Graph
Feng Xia, Zhifei Hu
In recent years recommendation systems typically employ the edge information provided by knowledge graphs combined with the advantages of high-order connectivity of graph networks…