KDD 2026 | （7月轮）LLM × Graph论文总结【预祝大家假期愉快】

KDD 2026将在2026年8月9日至13日于韩国济州（Jeju, Korea ）举行。

本文总结了KDD 2026（July Cycle）上有关LLM × Graph的相关论文。

LLM × Graph Topic：文本属性图，知识图谱，RAG，问答，推荐系统，生成式推荐，网络安全等。

点击文末阅读原文跳转笔者知乎链接（跳转论文链接更方便）

Research Track

1 Enriching Semantic Profiles into Knowledge Graph for Recommender Systems Using Large Language Models.

链接：https://dl.acm.org/doi/10.1145/3770854.3780324

作者：Seokho Ahn, Sungbok Shin, Young-Duk Seo

关键词：推荐系统，语义分析，LLM，知识图谱

2 APT-CGLP: Advanced Persistent Threat Hunting via Contrastive Graph-Language Pre-Training.

链接：https://dl.acm.org/doi/10.1145/3770854.3780275

作者：Xuebo Qiu, Mingqi Lv, Yimei Zhang, Tieming Chen, Tiantian Zhu, Qijie Song, Shouling Ji

关键词：高级持续性威胁，网络安全情报，威胁狩猎，溯源图，多模态学习

3 SaVe-TAG: LLM-based Interpolation for Long-Tailed Text-Attributed Graphs.

链接：https://dl.acm.org/doi/10.1145/3770854.3780311

代码：https://github.com/LWang-Laura/SaVe-TAG

作者：Leyao Wang, Yu Wang, Bo Ni, Yuying Zhao, Hanyu Wang, Yao Ma, Tyler Derr

关键词：文本属性图，LLM数据增强，类别不平衡

4 Faico: Faithful and Complete Knowledge Graph Augmented Reasoning.

链接：https://dl.acm.org/doi/10.1145/3770854.3780336

作者：Guo Cheng, Kangfei Zhao, Ke Ye, Pengpeng Qiao, Zhiwei Zhang, Saiguang Che, Shaonan Ma, Mingxing Zhang

关键词：知识图谱问答，受限模式解码，图搜索

5 Towards Self-cognitive Exploration: Metacognitive Knowledge Graph Retrieval Augmented Generation.

链接：https://dl.acm.org/doi/10.1145/3770854.3780156

代码：https://github.com/XujieYuan/Metacognitive-KG-RAG

作者：Xujie Yuan, Shimin Di, Jielong Tang, Libin Zheng, Jian Yin:

关键词：LLM，知识图谱，RAG，元认知

6 DiKGRec: Generative Recommender Model with Diffusion and Knowledge Graph--Based Reasoning

链接：https://dl.acm.org/doi/10.1145/3770854.3780190

作者：huoxun Zheng, Baifan Zhou, Ahmet Soylu, Jie Tang, Evgeny Kharlamov

关键词：生成式推荐，知识图谱，扩散模型

Data & Benchmark Track

7 LitBench: A Graph-Centric Large Language Model Benchmarking Tool For Literature Tasks.

链接：https://dl.acm.org/doi/10.1145/3770854.3785679

代码：https://github.com/varvarigos/LitBench

作者：Andreas Varvarigos, Ali Maatouk, Jiasheng Zhang, Ngoc Bui, Jialin Chen, Leandros Tassiulas, Rex Ying

关键词：LLM，以图为中心的学习，文献任务，引文图，信息检索

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