{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T19:44:23Z","timestamp":1730231063531,"version":"3.28.0"},"reference-count":17,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,8,25]],"date-time":"2023-08-25T00:00:00Z","timestamp":1692921600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,8,25]],"date-time":"2023-08-25T00:00:00Z","timestamp":1692921600000},"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":[[2023,8,25]]},"DOI":"10.1109\/icbase59196.2023.10303211","type":"proceedings-article","created":{"date-parts":[[2023,11,3]],"date-time":"2023-11-03T17:50:59Z","timestamp":1699033859000},"page":"201-206","source":"Crossref","is-referenced-by-count":0,"title":["A Knowledge Graph Reasoning Approach Integrating Attention-based LSTM and Multi-Agent Reinforcement Learning"],"prefix":"10.1109","author":[{"given":"Qingqing","family":"Wang","sequence":"first","affiliation":[{"name":"Beijing Aerospace Changfeng Company Limited,Beijing,China"}]},{"given":"Han","family":"Jiao","sequence":"additional","affiliation":[{"name":"Beijing Aerospace Changfeng Company Limited,Beijing,China"}]},{"given":"Danpu","family":"Zhang","sequence":"additional","affiliation":[{"name":"Beijing Aerospace Changfeng Science Technology Industry Group Company Limited,Beijing,China"}]},{"given":"Xuemei","family":"Dong","sequence":"additional","affiliation":[{"name":"Beijing Aerospace Changfeng Science Technology Industry Group Company Limited,Beijing,China"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/BF00992696"},{"journal-title":"Reinforcement learning An introduction[M]","year":"2018","author":"sutton","key":"ref12"},{"key":"ref15","article-title":"Embedding Entities and Relations for Learning and Inference in Knowledge Bases[C]","author":"yang","year":"2015","journal-title":"Proceedings of the International Conference on Learning Representations (ICLR)"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11573"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/BF02289588"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.emnlp-main.700"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v28i1.8870"},{"key":"ref1","first-page":"2787","article-title":"Translating embeddings for modeling multi-relational data[J]","volume":"ii","author":"bordes","year":"2013","journal-title":"Proc of the 26th International Conference on Neural Information Processing Systems"},{"key":"ref17","first-page":"6787","article-title":"M-Walk: learning to walk over graphs using Monte Carlo tree search[C]","author":"shen","year":"0"},{"key":"ref16","first-page":"2071","article-title":"Complex embeddings for simple link prediction [C]\/\/International conference on machine learning","author":"trouillon","year":"2016","journal-title":"PMLR"},{"key":"ref8","article-title":"Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning[C]","author":"das","year":"2018","journal-title":"International Conference on Learning Representations"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D17-1060"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-1362"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P15-1067"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v29i1.9491"},{"key":"ref6","first-page":"2316","article-title":"Differentiable learning of logical rules for knowledge base reasoning[C]","author":"yang","year":"2017","journal-title":"Proceedings of the 31st International Conference on Neural Information Processing Systems"},{"key":"ref5","first-page":"705","article-title":"Modeling Relation Paths for Representation Learning of Knowledge Bases[J]","author":"lin","year":"2015","journal-title":"Computer Science"}],"event":{"name":"2023 4th International Conference on Big Data & Artificial Intelligence & Software Engineering (ICBASE)","start":{"date-parts":[[2023,8,25]]},"location":"Nanjing, China","end":{"date-parts":[[2023,8,27]]}},"container-title":["2023 4th International Conference on Big Data &amp; Artificial Intelligence &amp; Software Engineering (ICBASE)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10303003\/10303015\/10303211.pdf?arnumber=10303211","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,27]],"date-time":"2023-11-27T19:34:05Z","timestamp":1701113645000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10303211\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,8,25]]},"references-count":17,"URL":"https:\/\/doi.org\/10.1109\/icbase59196.2023.10303211","relation":{},"subject":[],"published":{"date-parts":[[2023,8,25]]}}}