{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,31]],"date-time":"2025-10-31T07:09:37Z","timestamp":1761894577289,"version":"build-2065373602"},"reference-count":34,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,6,30]],"date-time":"2025-06-30T00:00:00Z","timestamp":1751241600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,6,30]],"date-time":"2025-06-30T00:00:00Z","timestamp":1751241600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100006190","name":"Research and Development","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100006190","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,6,30]]},"DOI":"10.1109\/icme59968.2025.11209364","type":"proceedings-article","created":{"date-parts":[[2025,10,30]],"date-time":"2025-10-30T17:57:42Z","timestamp":1761847062000},"page":"1-6","source":"Crossref","is-referenced-by-count":0,"title":["Multi-Level Graph Pruning-Based Framework for Graph Retrieval-Augmented Generation"],"prefix":"10.1109","author":[{"given":"Hongxu","family":"Li","sequence":"first","affiliation":[{"name":"Harbin Institute of Technology,Information Engineering,Harbin,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaodi","family":"Li","sequence":"additional","affiliation":[{"name":"Harbin Institute of Technology,Information Engineering,Harbin,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fulin","family":"Su","sequence":"additional","affiliation":[{"name":"Harbin Institute of Technology,Information Engineering,Harbin,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qinglang","family":"Guo","sequence":"additional","affiliation":[{"name":"CETC Academy of Electronics and Information Technology Group Co., Ltd,China Academic of Electronics and Information Technology,Beijing,China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","first-page":"2","article-title":"Bert: Pre-training of deep bidirectional transformers for language understanding","volume-title":"Proceedings of naacL-HLT","volume":"1","author":"Ming-Wei Chang Kenton"},{"article-title":"Language models are few-shot learners","year":"2020","author":"Brown","key":"ref2"},{"article-title":"Llama 2: Open foundation and fine-tuned chat models","year":"2023","author":"Touvron","key":"ref3"},{"article-title":"A survey of large language models","year":"2023","author":"Zhao","key":"ref4"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3571730"},{"key":"ref6","first-page":"9459","article-title":"Retrieval-augmented generation for knowledge-intensive nlp tasks","volume":"33","author":"Lewis","year":"2020","journal-title":"Advances in Neural Information Processing Systems"},{"article-title":"Retrieval-augmented generation for large language models: A survey","year":"2023","author":"Gao","key":"ref7"},{"article-title":"Graph retrieval-augmented generation: A survey","year":"2024","author":"Peng","key":"ref8"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/3447772"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v28i1.8870"},{"article-title":"Talk like a graph: Encoding graphs for large language models","year":"2023","author":"Fatemi","key":"ref11"},{"article-title":"Graphtext: Graph reasoning in text space","year":"2023","author":"Zhao","key":"ref12"},{"article-title":"Let your graph do the talking: Encoding structured data for llms","year":"2024","author":"Perozzi","key":"ref13"},{"article-title":"G-retriever: Retrieval-augmented generation for textual graph understanding and question answering","year":"2024","author":"He","key":"ref14"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2025.findings-naacl.232"},{"article-title":"Beyond text: A deep dive into large language models\u2019 ability on understanding graph data","year":"2023","author":"Hu","key":"ref16"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/3655103.3655110"},{"key":"ref18","article-title":"Can language models solve graph problems in natural language?","volume":"36","author":"Wang","year":"2024","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.matching-1.7"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i17.29875"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1162\/dint_a_00019"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2020.3028705"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/3289600.3290956"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.412"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00605"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.naacl-main.45"},{"article-title":"Knowledge graph-augmented language models for knowledge-grounded dialogue generation","year":"2023","author":"Kang","key":"ref27"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/3502720"},{"article-title":"From local to global: A graph rag approach to query-focused summarization","year":"2024","author":"Edge","key":"ref29"},{"article-title":"Graph attention networks","year":"2017","author":"Veli\u010dkovi\u0107","key":"ref30"},{"article-title":"Reasoning on graphs: Faithful and interpretable large language model reasoning","year":"2023","author":"Luo","key":"ref31"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1410"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.acl-long.62"},{"year":"2024","key":"ref34","article-title":"Qwen2.5: A party of foundation models"}],"event":{"name":"2025 IEEE International Conference on Multimedia and Expo (ICME)","start":{"date-parts":[[2025,6,30]]},"location":"Nantes, France","end":{"date-parts":[[2025,7,4]]}},"container-title":["2025 IEEE International Conference on Multimedia and Expo (ICME)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11208895\/11208897\/11209364.pdf?arnumber=11209364","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,31]],"date-time":"2025-10-31T05:31:04Z","timestamp":1761888664000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11209364\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,6,30]]},"references-count":34,"URL":"https:\/\/doi.org\/10.1109\/icme59968.2025.11209364","relation":{},"subject":[],"published":{"date-parts":[[2025,6,30]]}}}