SIGIR 2026 | LLM × Graph论文总结（图增强LLM，GraphRAG，Agent，多模态，知识图谱，搜索，推

SIGIR 2026将在2026年7月20日至24日于澳大利亚墨尔本（Melbourne | Naarm, Australia ）举行。

本文总结了SIGIR 2026上有关时空数据（Spatial-Temporal）的相关论文。

按照官网的命名方式，总共有如下4类paper类型：

• fp Full research papers (234 accepted)，本文涉及11篇
• sp Short research papers (151 accepted)，本文涉及1篇
• ip Industry papers (131 accepted)，本文涉及2篇
• lre Low Resource Environment papers (15 accepted)，本文涉及1篇

录用列表：https://sigir2026.org/en-AU/pages/program/accepted-papers

LLM × Graph Topic：图增强的LLM，GraphRAG，Agent，多模态，知识图谱，搜索，推荐等。

1. FP Verbalizing LightGCN: Direct Learning of Textual Representations from User-Item Interaction Graph via LLMs 2. FP DCGL: Dual-Channel Graph Learning with Large Language Models for Knowledge-Aware Recommendation 3. FP SSR: Structured Subgraph Retrieval for Temporal Knowledge Graph Question Answering with LLMs 4. FP Exploration-and-Thinking: Agentic Reasoning over Knowledge Graphs via an LLM-RL Synergized Framework 5. FP MLLMRec: A Preference Reasoning Paradigm with Graph Refinement for Multimodal Recommendation 6. FP Robust Multimodal Recommendation via Graph Retrieval-Enhanced Modality Completion 7. FPACE: Semantically-Grounded Graph Alignment via Affective Contrastive Learning 8. FP Learning Noise-Resilient and Transferable Graph-Text Alignment via Dynamic Quality Assessment 9. FP One-for-All Community Search on Unseen Graphs 10. FP Question-Adaptive Graph Learning for Multi-hop Retrieval Augmented Generation 11. FP mKG-RAG: Leveraging Multimodal Knowledge Graphs in Retrieval-Augmented Generation for Knowledge-intensive VQA 12. IP Efficient LLM Adaptation for Opinion Knowledge Graph Construction: Lessons from the Telecom Industry 13. IP From Unstructured to Structured: LLM-Guided Attribute Graphs for Entity Search and Ranking 14. LRE Graph-Enhanced Sentence Retrieval for Multi-Document Summarization in Low-Resource Languages 15. SP A Graph-Enhanced MLLM for Hierarchical Multimodal Emotion Understanding and Support in Conversations 16. SP StAR: Adaptive Structure-Aware Reranking for Semantic-Structural Alignment in GraphRAG

1 FP Verbalizing LightGCN: Direct Learning of Textual Representations from User-Item Interaction Graph via LLMs

作者：Manh Khanh Huu Ngo, Hady W. Lauw

关键词：lightgcn，用户-物品交互图，LLM

2 FP DCGL: Dual-Channel Graph Learning with Large Language Models for Knowledge-Aware Recommendation

作者：Xinchi Zou, Tongzhenzhi Su, Jianjun Li, Yuan Fu, Chang Liu, Zhiying Deng, Zhiwei Shen

关键词：LLM，图学习，知识感知推荐

3 FP SSR: Structured Subgraph Retrieval for Temporal Knowledge Graph Question Answering with LLMs

作者：Ying Zhang, Li Zhang, Wenya Guo, Shilong Ping, Xinying Qian

关键词：时序知识图谱问答，LLM

4 FP Exploration-and-Thinking: Agentic Reasoning over Knowledge Graphs via an LLM-RL Synergized Framework

作者：Yi Xia, Gang Zhou, Jing Chen, Xiaohui Chen, Qinlong Fan, Shunhang Li

关键词：智能体推理，知识图谱，强化学习

5 FP MLLMRec: A Preference Reasoning Paradigm with Graph Refinement for Multimodal Recommendation

链接 ：++https://arxiv.org/abs/2508.15304++

作者：Yuzhuo Dang, Xin Zhang, Zhiqiang Pan, Yuxiao Duan, Wanyu Chen, Fei Cai, Honghui Chen

关键词：多模态推荐，图细化，多模态大模型

6 FP Robust Multimodal Recommendation via Graph Retrieval-Enhanced Modality Completion

作者：Yuan Li, Jun Hu, Jiaxin Jiang, Bryan Hooi, Bingsheng He

关键词：多模态推荐，GraphRAG，模态补全

7 FP ACE: Semantically-Grounded Graph Alignment via Affective Contrastive Learning

作者：Potito Aghilar, Sabino Roccotelli, Vito Walter Anelli, Alejandro Bellogin, Michelantonio Trizio, Tommaso Di Noia

关键词：图对比学习，LLM

8 FP Learning Noise-Resilient and Transferable Graph-Text Alignment via Dynamic Quality Assessment

链接 ：++https://arxiv.org/abs/2510.19384++

作者：Mo Li, Zhaosong Zhao, Linlin Ding, Renata Borovica-Gajic, Zhongming Yao, Jianxin Li

关键词：多模态图学习，图基础模型

9 FP One-for-All Community Search on Unseen Graphs

作者：Yuhang Liu, Minglai Shao, Zengyi Wo, Yunlong Chu, Bing Hao, Shengzhong Liu, Ruijie Wang, Jianxin Li

关键词：社区搜索

10 FP Question-Adaptive Graph Learning for Multi-hop Retrieval Augmented Generation

作者：Yuchen Yan, Peiyan Zhang, Zhihua Liu, Hao Wang, Yatao Bian, Weiming Li, Xiaoshuai Hao

关键词：多跳RAG，问题感知的图学习

11 FP mKG-RAG: Leveraging Multimodal Knowledge Graphs in Retrieval-Augmented Generation for Knowledge-intensive VQA

链接 ：++https://arxiv.org/abs/2508.05318++

作者：Xu Yuan, Liang-Bo Ning, Qingqing Ye, Wenqi Fan, Li Qing

关键词：多模态知识图谱，视觉问答，GraphRAG

12 IP Efficient LLM Adaptation for Opinion Knowledge Graph Construction: Lessons from the Telecom Industry

作者：Nai-Chi Yang, Yu-Ming Hsieh, Wei-Yun Ma, Kuo-Wei Chang

关键词：知识图谱构建，LLM

13 IP From Unstructured to Structured: LLM-Guided Attribute Graphs for Entity Search and Ranking

作者：Yilun Zhu, Nikhita Vedula, Shervin Malmasi

关键词：搜索，排序，属性图

14 LRE Graph-Enhanced Sentence Retrieval for Multi-Document Summarization in Low-Resource Languages

作者：Xuan-Hung Le, Thi Toan Do, Hoang-Quynh Le

关键词：句子检索，图增强

15 SP A Graph-Enhanced MLLM for Hierarchical Multimodal Emotion Understanding and Support in Conversations

作者：Geng Tu, Taiyu Niu, Xi Zeng, Ruifeng Xu, Min Zhang

关键词：情感理解，图增强

16 SP StAR: Adaptive Structure-Aware Reranking for Semantic-Structural Alignment in GraphRAG

作者：Junghyun Oh, Sungsu Lim

关键词：重排，GraphRAG