3 papers
cs.LG2025
CORE: Contrastive Masked Feature Reconstruction on Graphs
Jianyuan Bo, Yuan Fang
In the rapidly evolving field of self-supervised learning on graphs, generative and contrastive methodologies have emerged as two dominant approaches. Our study focuses on masked f…
cs.CL2025
Query-Centric Graph Retrieval Augmented Generation
Yaxiong Wu, Jianyuan Bo, Yongyue Zhang +2
Graph-based retrieval-augmented generation (RAG) enriches large language models (LLMs) with external knowledge for long-context understanding and multi-hop reasoning, but existing…
cs.LG2025
Quantizing Text-attributed Graphs for Semantic-Structural Integration
Jianyuan Bo, Hao Wu, Yuan Fang
Text-attributed graphs (TAGs) have emerged as a powerful representation for modeling complex relationships across diverse domains. With the rise of large language models (LLMs), th…