{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,20]],"date-time":"2026-06-20T11:51:33Z","timestamp":1781956293975,"version":"3.54.5"},"reference-count":56,"publisher":"Elsevier BV","issue":"7","license":[{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,4,18]],"date-time":"2026-04-18T00:00:00Z","timestamp":1776470400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Information Processing & Management"],"published-print":{"date-parts":[[2026,11]]},"DOI":"10.1016\/j.ipm.2026.104836","type":"journal-article","created":{"date-parts":[[2026,4,22]],"date-time":"2026-04-22T07:25:16Z","timestamp":1776842716000},"page":"104836","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"PA","title":["CyVerACT: An Agentic Cypher Translation Workflow over Knowledge Graphs"],"prefix":"10.1016","volume":"63","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0286-6564","authenticated-orcid":false,"given":"Christina-Maria","family":"Androna","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-1794-9700","authenticated-orcid":false,"given":"Ioanna","family":"Mandilara","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-3782-3064","authenticated-orcid":false,"given":"Eleftheria","family":"Arkadopoulou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7683-4616","authenticated-orcid":false,"given":"Eleni","family":"Fotopoulou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0078-8697","authenticated-orcid":false,"given":"Anastasios","family":"Zafeiropoulos","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9459-318X","authenticated-orcid":false,"given":"Symeon","family":"Papavassiliou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.ipm.2026.104836_b1","series-title":"KODA: An agentic framework for KEGG orthology-driven discovery of antimicrobial drug targets in gut microbiome","author":"Aminian-Dehkordi","year":"2025"},{"key":"10.1016\/j.ipm.2026.104836_b2","series-title":"Advances in computing systems and applications","first-page":"340","article-title":"Leveraging large language models and knowledge graphs for advanced biomedical question answering systems","author":"Amrani","year":"2024"},{"key":"10.1016\/j.ipm.2026.104836_b3","series-title":"CyVer Gitlab Repository","author":"Androna","year":"2025"},{"key":"10.1016\/j.ipm.2026.104836_b4","series-title":"CyVerAct Agentic Workflow Gitlab Repository","author":"Androna","year":"2025"},{"key":"10.1016\/j.ipm.2026.104836_b5","series-title":"Llama3.1-8B-cypher: A cypher query generation model","author":"Azzedde","year":"2025"},{"key":"10.1016\/j.ipm.2026.104836_b6","first-page":"49","article-title":"SqlFixAgent: Towards semantic-accurate text-to-SQL parsing via consistency-enhanced multi-agent collaboration","volume":"vol. 39","author":"Cen","year":"2025"},{"issue":"1","key":"10.1016\/j.ipm.2026.104836_b7","doi-asserted-by":"crossref","first-page":"67","DOI":"10.1038\/s41597-023-01960-3","article-title":"Building a knowledge graph to enable precision medicine","volume":"10","author":"Chandak","year":"2023","journal-title":"Scientific Data"},{"key":"10.1016\/j.ipm.2026.104836_b8","series-title":"Is long context all you need? Leveraging LLM\u2019s extended context for NL2SQL","author":"Chung","year":"2025"},{"key":"10.1016\/j.ipm.2026.104836_b9","series-title":"GraphRAFT: Retrieval augmented fine-tuning for knowledge graphs on graph databases","author":"Clemedtson","year":"2025"},{"key":"10.1016\/j.ipm.2026.104836_b10","unstructured":"Deng, M., Ramachandran, A., Xu, C., Hu, L., Yao, Z., Datta, A., & Zhang, H. (2025). ReFoRCE: A Text-to-SQL Agent with Self-Refinement, Format Restriction, and Column Exploration. In ICLR 2025 workshop: verifAI: AI verification in the wild."},{"key":"10.1016\/j.ipm.2026.104836_b11","series-title":"From local to global: A graph RAG approach to query-focused summarization","author":"Edge","year":"2025"},{"key":"10.1016\/j.ipm.2026.104836_b12","doi-asserted-by":"crossref","DOI":"10.3389\/fenvs.2022.1003599","article-title":"SustainGraph: A knowledge graph for tracking the progress and the interlinking among the sustainable development goals\u2019 targets","volume":"10","author":"Fotopoulou","year":"2022","journal-title":"Frontiers in Environmental Science"},{"key":"10.1016\/j.ipm.2026.104836_b13","series-title":"Proceedings of the 2018 international conference on management of data","first-page":"1433","article-title":"Cypher: An evolving query language for property graphs","author":"Francis","year":"2018"},{"key":"10.1016\/j.ipm.2026.104836_b14","series-title":"The llama 3 herd of models","author":"Grattafiori","year":"2024"},{"key":"10.1016\/j.ipm.2026.104836_b15","series-title":"GPT4graph: Can large language models understand graph structured data ? an empirical evaluation and benchmarking","author":"Guo","year":"2023"},{"key":"10.1016\/j.ipm.2026.104836_b16","series-title":"KG-agent: An efficient autonomous agent framework for complex reasoning over knowledge graph","author":"Jiang","year":"2024"},{"key":"10.1016\/j.ipm.2026.104836_b17","series-title":"LangGraph","author":"Lang Chain","year":"2025"},{"key":"10.1016\/j.ipm.2026.104836_b18","series-title":"Build a question answering application over a graph database","author":"LangChain","year":"2025"},{"key":"10.1016\/j.ipm.2026.104836_b19","series-title":"Workflows & Agents \u2013 LangGraph Tutorial","author":"LangChain Team","year":"2025"},{"key":"10.1016\/j.ipm.2026.104836_b20","series-title":"Proceedings of the 33rd ACM international conference on information and knowledge management","first-page":"1367","article-title":"Aligning large language models to a domain-specific graph database for NL2GQL","author":"Liang","year":"2024"},{"key":"10.1016\/j.ipm.2026.104836_b21","series-title":"NAT-NL2GQL: A novel multi-agent framework for translating natural language to graph query language","author":"Liang","year":"2024"},{"key":"10.1016\/j.ipm.2026.104836_b22","series-title":"Proceedings of the ACM on web conference 2025","first-page":"98","article-title":"SymAgent: A neural-symbolic self-learning agent framework for complex reasoning over knowledge graphs","author":"Liu","year":"2025"},{"key":"10.1016\/j.ipm.2026.104836_b23","first-page":"46534","article-title":"Self-refine: Iterative refinement with self-feedback","volume":"vol. 36","author":"Madaan","year":"2023"},{"key":"10.1016\/j.ipm.2026.104836_b24","series-title":"Text-to-Cypher SustainGraph dataset","author":"Mandilara","year":"2025"},{"key":"10.1016\/j.ipm.2026.104836_b25","doi-asserted-by":"crossref","first-page":"80981","DOI":"10.1109\/ACCESS.2025.3567759","article-title":"Decoding the mystery: How can LLMs turn text into cypher in complex knowledge graphs?","volume":"13","author":"Mandilara","year":"2025","journal-title":"IEEE Access"},{"key":"10.1016\/j.ipm.2026.104836_b26","series-title":"Findings of the association for computational linguistics: ACL 2024","first-page":"2009","article-title":"Enhancing text-to-SQL parsing through question rewriting and execution-guided refinement","author":"Mao","year":"2024"},{"key":"10.1016\/j.ipm.2026.104836_b27","series-title":"SelfCheck: Using LLMs to zero-shot check their own step-by-step reasoning","author":"Miao","year":"2023"},{"key":"10.1016\/j.ipm.2026.104836_b28","series-title":"Text-to-Cypher 2025 v1 dataset","author":"Neo4j Team","year":"2025"},{"issue":"5","key":"10.1016\/j.ipm.2026.104836_b29","doi-asserted-by":"crossref","DOI":"10.1016\/j.ipm.2025.104136","article-title":"Optimizing text-to-SQL conversion techniques through the integration of intelligent agents and large language models","volume":"62","author":"Ojuri","year":"2025","journal-title":"Information Processing & Management"},{"key":"10.1016\/j.ipm.2026.104836_b30","series-title":"GPT-4 technical report","author":"OpenAI","year":"2024"},{"key":"10.1016\/j.ipm.2026.104836_b31","series-title":"Enhancing Text2Cypher with schema filtering","author":"Ozsoy","year":"2025"},{"key":"10.1016\/j.ipm.2026.104836_b32","series-title":"Proceedings of the workshop on generative AI and knowledge graphs (genAIK)","article-title":"Text2Cypher: Bridging natural language and graph databases","author":"Ozsoy","year":"2025"},{"issue":"7","key":"10.1016\/j.ipm.2026.104836_b33","doi-asserted-by":"crossref","first-page":"3580","DOI":"10.1109\/TKDE.2024.3352100","article-title":"Unifying large language models and knowledge graphs: A roadmap","volume":"36","author":"Pan","year":"2024","journal-title":"IEEE Transactions on Knowledge and Data Engineering"},{"key":"10.1016\/j.ipm.2026.104836_b34","series-title":"Graph retrieval-augmented generation: A survey","author":"Peng","year":"2024"},{"key":"10.1016\/j.ipm.2026.104836_b35","series-title":"Gemma 2: Improving open language models at a practical size","author":"Riviere","year":"2024"},{"key":"10.1016\/j.ipm.2026.104836_b36","doi-asserted-by":"crossref","DOI":"10.1016\/j.jclepro.2023.136344","article-title":"A graph database for life cycle inventory using neo4j","volume":"393","author":"Saad","year":"2023","journal-title":"Journal of Cleaner Production"},{"key":"10.1016\/j.ipm.2026.104836_b37","series-title":"Proceedings of the 37th international conference on neural information processing systems","article-title":"Reflexion: language agents with verbal reinforcement learning","author":"Shinn","year":"2023"},{"key":"10.1016\/j.ipm.2026.104836_b38","series-title":"2024 IEEE world AI ioT congress (aIIoT)","first-page":"527","article-title":"Enhancing AI systems with agentic workflows patterns in large language model","author":"Singh","year":"2024"},{"key":"10.1016\/j.ipm.2026.104836_b39","series-title":"Agentic retrieval-augmented generation: A survey on agentic RAG","author":"Singh","year":"2025"},{"issue":"4","key":"10.1016\/j.ipm.2026.104836_b40","doi-asserted-by":"crossref","first-page":"60","DOI":"10.1145\/3582302.3582320","article-title":"The world of graph databases from an industry perspective","volume":"51","author":"Tian","year":"2023","journal-title":"SIGMOD Record"},{"key":"10.1016\/j.ipm.2026.104836_b41","series-title":"An overview of graph databases and their applications in the biomedical domain","first-page":"baab026","author":"Tim\u00f3n-Reina","year":"2021"},{"key":"10.1016\/j.ipm.2026.104836_b42","series-title":"Proceedings of the 2025 conference of the nations of the americas chapter of the association for computational linguistics: human language technologies (volume 2: short papers)","first-page":"623","article-title":"Auto-cypher: Improving LLMs on cypher generation via LLM-supervised generation-verification framework","author":"Tiwari","year":"2025"},{"issue":"17","key":"10.1016\/j.ipm.2026.104836_b43","doi-asserted-by":"crossref","DOI":"10.3390\/app14177881","article-title":"Robust text-to-cypher using combination of BERT, GraphSAGE, and transformer (CoBGT) model","volume":"14","author":"Tran","year":"2024","journal-title":"Applied Sciences"},{"issue":"15","key":"10.1016\/j.ipm.2026.104836_b44","doi-asserted-by":"crossref","DOI":"10.3390\/app15158206","article-title":"Refining Text2Cypher on small language model with reinforcement learning leveraging semantic information","volume":"15","author":"Tran","year":"2025","journal-title":"Applied Sciences"},{"key":"10.1016\/j.ipm.2026.104836_b45","series-title":"Proceedings of the thirty-eighth AAAI conference on artificial intelligence and thirty-sixth conference on innovative applications of artificial intelligence and fourteenth symposium on educational advances in artificial intelligence","article-title":"Knowledge graph prompting for multi-document question answering","author":"Wang","year":"2024"},{"key":"10.1016\/j.ipm.2026.104836_b46","series-title":"LinkAlign: Scalable schema linking for real-world large-scale multi-database text-to-SQL","author":"Wang","year":"2025"},{"issue":"6","key":"10.1016\/j.ipm.2026.104836_b47","doi-asserted-by":"crossref","DOI":"10.1007\/s11704-024-40231-1","article-title":"A survey on large language model based autonomous agents","volume":"18","author":"Wang","year":"2024","journal-title":"Frontiers of Computer Science"},{"key":"10.1016\/j.ipm.2026.104836_b48","first-page":"5776","article-title":"Minilm: Deep self-attention distillation for task-agnostic compression of pre-trained transformers","volume":"vol. 33","author":"Wang","year":"2020"},{"key":"10.1016\/j.ipm.2026.104836_b49","series-title":"Medical graph RAG: Towards safe medical large language model via graph retrieval-augmented generation","author":"Wu","year":"2024"},{"key":"10.1016\/j.ipm.2026.104836_b50","series-title":"Proceedings of the 62nd annual meeting of the association for computational linguistics (volume 1: long papers)","first-page":"10561","article-title":"Interactive-KBQA: Multi-turn interactions for knowledge base question answering with large language models","author":"Xiong","year":"2024"},{"key":"10.1016\/j.ipm.2026.104836_b51","series-title":"Proceedings of the 47th international ACM SIGIR conference on research and development in information retrieval","first-page":"2905","article-title":"Retrieval-augmented generation with knowledge graphs for customer service question answering","author":"Xu","year":"2024"},{"issue":"1","key":"10.1016\/j.ipm.2026.104836_b52","doi-asserted-by":"crossref","DOI":"10.1016\/j.ipm.2025.104280","article-title":"Enhancing knowledge graph interactions: A comprehensive text-to-cypher pipeline with large language models","volume":"63","author":"Yang","year":"2026","journal-title":"Information Processing & Management"},{"key":"10.1016\/j.ipm.2026.104836_b53","series-title":"Qwen2.5 technical report","author":"Yang","year":"2025"},{"key":"10.1016\/j.ipm.2026.104836_b54","series-title":"EICopilot: Search and explore enterprise information over large-scale knowledge graphs with LLM-driven agents","author":"Yun","year":"2025"},{"key":"10.1016\/j.ipm.2026.104836_b55","series-title":"SyntheT2C: Generating synthetic data for fine-tuning large language models on the Text2Cypher task","author":"Zhong","year":"2025"},{"key":"10.1016\/j.ipm.2026.104836_b56","doi-asserted-by":"crossref","unstructured":"Zou, Y., Wang, Y., & Liu, D. (2024). Q2Cypher: Converting Natural Language Questions to Cypher with Fine-Tuned Large Language Models. In 2024 5th international conference on artificial intelligence and computer engineering (pp. 783\u2013788).","DOI":"10.1109\/ICAICE63571.2024.10863984"}],"container-title":["Information Processing & Management"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S030645732600227X?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S030645732600227X?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,6,20]],"date-time":"2026-06-20T11:24:37Z","timestamp":1781954677000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S030645732600227X"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,11]]},"references-count":56,"journal-issue":{"issue":"7","published-print":{"date-parts":[[2026,11]]}},"alternative-id":["S030645732600227X"],"URL":"https:\/\/doi.org\/10.1016\/j.ipm.2026.104836","relation":{},"ISSN":["0306-4573"],"issn-type":[{"value":"0306-4573","type":"print"}],"subject":[],"published":{"date-parts":[[2026,11]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"CyVerACT: An Agentic Cypher Translation Workflow over Knowledge Graphs","name":"articletitle","label":"Article Title"},{"value":"Information Processing & Management","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.ipm.2026.104836","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 The Authors. Published by Elsevier Ltd.","name":"copyright","label":"Copyright"}],"article-number":"104836"}}