{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,15]],"date-time":"2025-11-15T08:07:44Z","timestamp":1763194064105,"version":"3.45.0"},"reference-count":25,"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"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,6,30]]},"DOI":"10.1109\/ijcnn64981.2025.11227729","type":"proceedings-article","created":{"date-parts":[[2025,11,14]],"date-time":"2025-11-14T18:46:15Z","timestamp":1763145975000},"page":"1-8","source":"Crossref","is-referenced-by-count":0,"title":["Tag2Graph: A Multi-Agent Framework for Mining Knowledge Graphs from Industrial Time Series Data"],"prefix":"10.1109","author":[{"given":"Zhen","family":"Zhao","sequence":"first","affiliation":[{"name":"University of Technology Sydney,School of Computer Science,Sydney,NSW,Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Brian Kenneth","family":"Erickson","sequence":"additional","affiliation":[{"name":"AVEVA Group Plc (USA),AI Research &#x0026; Development Department,Lake Forest,CA,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shantanu","family":"Chakraborty","sequence":"additional","affiliation":[{"name":"AVEVA Group Plc (Australia),AI Research &#x0026; Development Department,Sydney,NSW,Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei","family":"Liu","sequence":"additional","affiliation":[{"name":"University of Technology Sydney,School of Computer Science,Sydney,NSW,Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.aei.2021.101441"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.3390\/en15051700"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46547-0_19"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.3233\/SW-140134"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2016.2633993"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.eng.2021.08.018"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1155\/2020\/8269082"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2011.06.020"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3016529"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2005.01.025"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-021-01621-0"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/1989323.1989364"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TASL.2010.2090148"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2019.09.198"},{"key":"ref15","doi-asserted-by":"crossref","DOI":"10.32388\/R27SW4","article-title":"Exploration of llm multi-agent application implementation based on langgraph+crewai","author":"Duan","year":"2024"},{"article-title":"Agent ai with langgraph: A modular framework for enhancing machine translation using large language models","year":"2024","author":"Wang","key":"ref16"},{"article-title":"React: Synergizing reasoning and acting in language models","volume-title":"International Conference on Learning Representations (ICLR)","author":"Yao","key":"ref17"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.enconman.2020.112496"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1177\/0309524X221122501"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i8.20881"},{"article-title":"Time2vec: Learning a vector representation of time","year":"2019","author":"Kazemi","key":"ref21"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-40994-3_14"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.chaos.2021.111612"},{"key":"ref24","article-title":"Attention is all you need","volume-title":"Proc. Adv. Neural Inf. Process. Syst. (NeurIPS)","volume":"30","author":"Vaswani"},{"article-title":"Are transformers effective for time series forecasting?","year":"2022","author":"Zeng","key":"ref25"}],"event":{"name":"2025 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2025,6,30]]},"location":"Rome, Italy","end":{"date-parts":[[2025,7,5]]}},"container-title":["2025 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11227166\/11227148\/11227729.pdf?arnumber=11227729","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,15]],"date-time":"2025-11-15T08:02:46Z","timestamp":1763193766000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11227729\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,6,30]]},"references-count":25,"URL":"https:\/\/doi.org\/10.1109\/ijcnn64981.2025.11227729","relation":{},"subject":[],"published":{"date-parts":[[2025,6,30]]}}}