一作ACL 2026Poster· Natural Language Processing
Compressing LLM Knowledge into Graph Representations for Text-attributed Graphs Learning
Runhuai Chen · Dian Shen · Dandan Zhang · kaihong huang · Linghui Meng · Beilun Wang
摘要
Text-attributed graphs (TAGs) require jointly modeling relational structure and node-level text. Existing GNN-LLM approaches perform by incorporating large language models at inference time for processing the text attributes, resulting in costly deployment. More fundamentally, LLM knowledge is ty...