Toward General and Robust LLM-enhanced Text-attributed Graph Learning

ArXi:2504.02343v2 Announce Type: replace Recent advancements in Large Language Models (LLMs) and the proliferation of Text-Attributed Graphs ( To address these challenges, we propose UltraTAG, a unified pipeline for LLM-enhanced TAG learning. UltraTAG provides a unified comprehensive and domain-adaptive framework that not only organizes existing methodologies but also paves the way for future advancements in the field. Building on this framework, we propose UltraTAG-S, a robust instantiation of UltraTAG designed to tackle the inherent sparsity issues in real-world.