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http://seucoin.github.io-main/workshop/llmg2025/ 1 About: LLM+Graph Large Language Models (LLMs) have seen rapid development such as ChatGPT and LLaMA, and have received tremendous attention from both industry and academia. While they have shown remarkable success over text data, recent works have demonstrated their limitations in reasoning with structured data including graphs. Graph-structured data is ubiquitous in the real world ranging from social and biological networks to financial transactions, knowledge bases, and transportation systems -- they permeate our daily lives. Therefore, understanding how to utilize graph data optimally with LLMs is a crucial research question. Recently, exploring the synergy between graphs and LLMs are attracting increasing interest in the data management and AI communities. On one hand, LLMs can be enhanced with graph computing techniques to provide answers with more contextualized facts, e.g., graph-based retrieval-augmented generation (graph RAG
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