{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T09:14:07Z","timestamp":1775034847569,"version":"3.50.1"},"reference-count":26,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,11,28]],"date-time":"2025-11-28T00:00:00Z","timestamp":1764288000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,11,28]],"date-time":"2025-11-28T00:00:00Z","timestamp":1764288000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100007846","name":"Yunnan Provincial Department of Education","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100007846","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,11,28]]},"DOI":"10.1109\/icvisp68610.2025.11451238","type":"proceedings-article","created":{"date-parts":[[2026,3,31]],"date-time":"2026-03-31T19:48:48Z","timestamp":1774986528000},"page":"1-5","source":"Crossref","is-referenced-by-count":0,"title":["SSFGraphRAG: Semantic-Structure Fusion Graph Retrieval-Augmented Generation"],"prefix":"10.1109","author":[{"given":"Bingbing","family":"Liu","sequence":"first","affiliation":[{"name":"Yunnan Normal University,Key Laboratory of Education Informatization for Nationalities, Ministry of Education,Kunming,China"}]},{"given":"Mingjie","family":"Wang","sequence":"additional","affiliation":[{"name":"Yunnan Normal University,Key Laboratory of Education Informatization for Nationalities, Ministry of Education,Kunming,China"}]},{"given":"Jun","family":"Wang","sequence":"additional","affiliation":[{"name":"Yunnan Normal University,Key Laboratory of Education Informatization for Nationalities, Ministry of Education,Kunming,China"}]},{"given":"Bo","family":"Xu","sequence":"additional","affiliation":[{"name":"Yunnan Normal University,Key Laboratory of Education Informatization for Nationalities, Ministry of Education,Kunming,China"}]},{"given":"Jianhou","family":"Gan","sequence":"additional","affiliation":[{"name":"Yunnan Normal University,Key Laboratory of Education Informatization for Nationalities, Ministry of Education,Kunming,China"}]},{"given":"Xiaoyu","family":"Han","sequence":"additional","affiliation":[{"name":"Yunnan Normal University,Key Laboratory of Education Informatization for Nationalities, Ministry of Education,Kunming,China"}]}],"member":"263","reference":[{"key":"ref1","article-title":"Language models are few-shot learners for prognostic prediction","author":"Chen","year":"2023","journal-title":"arXiv: arXiv:2302.12692"},{"key":"ref2","article-title":"Chain-of-thought prompting elicits reasoning in large language models","author":"Wei","year":"2023","journal-title":"arXiv: arXiv:2201.11903"},{"key":"ref3","article-title":"Sparks of artificial general intelligence: early experiments with GPT-4","author":"Bubeck","year":"2023","journal-title":"arXiv: arXiv:2303.12712"},{"key":"ref4","article-title":"Real-time evaluation models for RAG: who detects hallucinations best?","author":"Sardana","year":"2025","journal-title":"arXiv: arXiv:2503.21157"},{"key":"ref5","article-title":"Enhancing RAG-retrieval to improve LLMs robustness and resilience to hallucinations SpringerLink","year":"2025"},{"key":"ref6","article-title":"RealTime QA: what\u2019s the answer right now?","author":"Kasai","year":"2024","journal-title":"arXiv: arXiv:2207.13332"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.emnlp-industry.39"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/tkde.2024.3352100"},{"key":"ref9","article-title":"Graph Retrieval-Augmented Generation: A Survey","author":"Peng","year":"2024","journal-title":"arXiv: arXiv:2408.08921"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00638"},{"key":"ref11","article-title":"Simple is effective: the roles of graphs and large language models in knowledge-graph-based retrieval-augmented generation","author":"Li","year":"2025","journal-title":"arXiv: arXiv:2410.20724"},{"key":"ref12","article-title":"UniKGQA: unified retrieval and reasoning for solving multi-hop question answering over knowledge graph","author":"Jiang","year":"2023","journal-title":"arXiv: arXiv:2212.00959"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3437963.3441753"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/p16-2033"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/n18-1059"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.findings-acl.208"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.acl-long.396"},{"key":"ref18","article-title":"Retrieve-rewrite-answer: a KG-to-text enhanced LLMs framework for knowledge graph question answering","author":"Wu","year":"2023","journal-title":"arXiv: arXiv:2309.11206"},{"key":"ref19","article-title":"Reasoning on graphs: faithful and interpretable large language model reasoning","author":"Luo","year":"2024","journal-title":"arXiv: arXiv:2310.01061"},{"key":"ref20","article-title":"G-retriever: retrieval-augmented generation for textual graph understanding and question answering","author":"He"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2025.findings-acl.856"},{"key":"ref22","article-title":"Knowledge-driven CoT: exploring faithful reasoning in LLMs for knowledge-intensive question answering","author":"Wang","year":"2023","journal-title":"arXiv: arXiv:2308.13259"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.emnlp-main.574"},{"key":"ref24","article-title":"Think-on-graph: deep and responsible reasoning of large language model on knowledge graph","author":"Sun","year":"2024","journal-title":"arXiv: arXiv:2307.07697"},{"key":"ref25","article-title":"Explore then determine: a GNN-LLM synergy framework for reasoning over knowledge graph","author":"Liu","year":"2024","journal-title":"arXiv: arXiv:2406.01145"},{"key":"ref26","article-title":"Towards general text embeddings with multi-stage contrastive learning","author":"Li","year":"2023","journal-title":"arXiv: arXiv:2308.03281"}],"event":{"name":"2025 9th International Conference on Vision, Image and Signal Processing (ICVISP)","location":"Xi'an, China","start":{"date-parts":[[2025,11,28]]},"end":{"date-parts":[[2025,11,30]]}},"container-title":["2025 9th International Conference on Vision, Image and Signal Processing (ICVISP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11450551\/11451183\/11451238.pdf?arnumber=11451238","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T06:10:24Z","timestamp":1775023824000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11451238\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,11,28]]},"references-count":26,"URL":"https:\/\/doi.org\/10.1109\/icvisp68610.2025.11451238","relation":{},"subject":[],"published":{"date-parts":[[2025,11,28]]}}}