{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T03:20:51Z","timestamp":1740108051431,"version":"3.37.3"},"reference-count":40,"publisher":"Springer Science and Business Media LLC","issue":"11","license":[{"start":{"date-parts":[[2022,8,10]],"date-time":"2022-08-10T00:00:00Z","timestamp":1660089600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,8,10]],"date-time":"2022-08-10T00:00:00Z","timestamp":1660089600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Comput &amp; Applic"],"published-print":{"date-parts":[[2023,4]]},"DOI":"10.1007\/s00521-022-07680-w","type":"journal-article","created":{"date-parts":[[2022,8,10]],"date-time":"2022-08-10T08:03:00Z","timestamp":1660118580000},"page":"7975-7987","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Discriminator-based adversarial networks for knowledge graph completion"],"prefix":"10.1007","volume":"35","author":[{"given":"Abdallah","family":"Tubaishat","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8176-3373","authenticated-orcid":false,"given":"Tehseen","family":"Zia","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rehana","family":"Faiz","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Feras","family":"Al Obediat","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Babar","family":"shah","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"David","family":"Windridge","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,8,10]]},"reference":[{"issue":"11","key":"7680_CR1","doi-asserted-by":"publisher","first-page":"39","DOI":"10.1145\/219717.219748","volume":"38","author":"GA Miller","year":"1995","unstructured":"Miller GA (1995) Wordnet: a lexical database for english. Commun ACM 38(11):39\u201341","journal-title":"Commun ACM"},{"key":"7680_CR2","doi-asserted-by":"crossref","unstructured":"Bollacker K, Evans C, Paritosh P, et al (2008) Freebase: a collaboratively created graph database for structuring human knowledge. In: SIGMOD, pp 1247\u20131250","DOI":"10.1145\/1376616.1376746"},{"key":"7680_CR3","doi-asserted-by":"crossref","unstructured":"Suchanek FM, Kasneci G, andWeikum G (2007) Yago: a core of semantic knowledge. In: WWW. ACM, pp 697\u2013706","DOI":"10.1145\/1242572.1242667"},{"issue":"5","key":"7680_CR4","doi-asserted-by":"publisher","first-page":"565","DOI":"10.14778\/3055540.3055549","volume":"10","author":"W Cui","year":"2017","unstructured":"Cui W, Xiao Y, Wang H et al (2017) KBQA: learning question answering over qa corpora and knowledge bases. Proc VLDB Endow 10(5):565\u2013576","journal-title":"Proc VLDB Endow"},{"key":"7680_CR5","doi-asserted-by":"crossref","unstructured":"Zhang, F, Yuan NJ, Lian D, et al (2016) Collaborative knowledge base embedding for recommender systems. In: KDD. ACM, pp 353\u2013362","DOI":"10.1145\/2939672.2939673"},{"key":"7680_CR6","unstructured":"Yang B, Yih WT, He X, et al (2015) Embedding entities and relations for learning and inference in knowledge bases. In: ICLR"},{"key":"7680_CR7","unstructured":"Bordes A, Usunier N, Garcia DA, et al (2013) Translating embeddings for modeling multi-relational data. In: NIPS, pp 2787\u20132795"},{"key":"7680_CR8","unstructured":"Nickel M, Tresp V, Kriegel HP (2011) A three way model for collective learning on multi-relational data. In: ICML, pp 809\u2013816"},{"key":"7680_CR9","unstructured":"Socher R, Chen D, Manning CD, Ng A (2013) Reasoning with neural tensor networks for knowledge base completion. In: NIPS, pp 926\u2013934"},{"key":"7680_CR10","doi-asserted-by":"crossref","unstructured":"Xie R, Liu Z, Jia J, et al (2016) Representation learning of knowledge graphs with entity descriptions. In: AAAI","DOI":"10.1609\/aaai.v30i1.10329"},{"key":"7680_CR11","unstructured":"Xie R, Liu Z, Sun M (2016) Representation learning of knowledge graphs with hierarchical types. In: IJCAI, pp 2965\u20132971"},{"key":"7680_CR12","unstructured":"Liang Y, Chengsheng M, Luo Y (2019) KG-BERT: BERT for Knowledge Graph Completion. arXiv:1909.03193v2 [cs.CL]"},{"key":"7680_CR13","unstructured":"Clark K, Luong MT, Le QV, et al (2020) Manning ELECTRA: Pre-training Text Encoders as Discriminator rather than Generator. arXiv:2003.10555v1 [cs.CL]"},{"key":"7680_CR14","doi-asserted-by":"crossref","unstructured":"Cai L, andWang WY (2018) KBGAN: Adversarial learning for knowledge graph embeddings. In: NAACL, pp 1470\u20131480","DOI":"10.18653\/v1\/N18-1133"},{"key":"7680_CR15","unstructured":"Goodfellow I, Pouget-Abadie J, Mirza M, et al (2014) Generative adversarial nets. Adv Neural Inf Process Syst"},{"key":"7680_CR16","doi-asserted-by":"crossref","unstructured":"Wang J, Yu L, Zhang W, et al (2017) Irgan: a minimax game for unifying generative and discriminative information retrieval models. In: The 40th international ACM SIGIR conference on research and development in information retrieval","DOI":"10.1145\/3077136.3080786"},{"key":"7680_CR17","unstructured":"Zia T, Zahid U, Windridge D (2019) A generative adversarial strategy for modeling relation paths in knowledge base representation learning. In: 33rd Conference on neural information processing systems (NeuraIPS 2019), Vancouver, Canada"},{"key":"7680_CR18","first-page":"2316","volume":"1","author":"H Xiao","year":"2016","unstructured":"Xiao H, Huang M, Zhu X (2016) TransG: a generative model for knowledge graph embedding. ACL 1:2316\u20132325","journal-title":"ACL"},{"key":"7680_CR19","doi-asserted-by":"crossref","unstructured":"Zhang Z, Zhuang F, Qu M, et al (2018) Knowledge graph embedding with hierarchical relation structure. In: EMNLP, pp 3198\u20133207","DOI":"10.18653\/v1\/D18-1358"},{"key":"7680_CR20","doi-asserted-by":"crossref","unstructured":"Dettmers T, Minervini P, Stenetorp P, Riedel S (2018) Convolutional 2d knowledge graph embeddings In: AAAI, pp 1811\u20131818","DOI":"10.1609\/aaai.v32i1.11573"},{"key":"7680_CR21","doi-asserted-by":"crossref","unstructured":"Nguyen DQ, Nguyen TD, Phung D (2018) A convolutional neural network-based model for knowledge base completion and its application to search personalization Semantic Web","DOI":"10.18653\/v1\/N19-1226"},{"key":"7680_CR22","doi-asserted-by":"crossref","unstructured":"Schlichtkrull M, Kipf TN, Bloem P, et al (2018) Modeling relational data with graph convolutional networks. In: ESWC, pp 593\u2013607","DOI":"10.1007\/978-3-319-93417-4_38"},{"key":"7680_CR23","doi-asserted-by":"publisher","first-page":"108100","DOI":"10.1016\/j.knosys.2021.108100","volume":"240","author":"Z Zhou","year":"2022","unstructured":"Zhou Z, Wang C, Feng Y, Chen D (2022) JointE: jointly utilizing 1D and 2D convolution for knowledge graph embedding. Knowl Bases Syst 240:108100","journal-title":"Knowl Bases Syst"},{"key":"7680_CR24","doi-asserted-by":"crossref","unstructured":"Xie X, Zhang N, Li Z et al (2022) From Discrimination to Generation:Knowledge Graph Completion with Generative Transformer. arXiv:2202.02113v6 [cs.CL] 29 Mar 2022","DOI":"10.1145\/3487553.3524238"},{"key":"7680_CR25","unstructured":"Devlin J, Chang MW, Lee K,Toutanova K (2019) Bert: pre-training of deep bidirectional transformers for language understanding. In: NAACL, pp 4171\u20134186"},{"key":"7680_CR26","doi-asserted-by":"crossref","unstructured":"Wang A, Singh A, Michael J et al (2019) GLUE: a multi-task benchmark and analysis platform for natural language understanding. In: ICLR","DOI":"10.18653\/v1\/W18-5446"},{"key":"7680_CR27","doi-asserted-by":"publisher","first-page":"543","DOI":"10.1016\/j.neucom.2021.04.128","volume":"461","author":"T Zia","year":"2021","unstructured":"Zia T, Windridge D (2021) A generative adversarial network for single and multi-hop distributional knowledge base completion. Neurocomputing 461:543\u2013551","journal-title":"Neurocomputing"},{"key":"7680_CR28","doi-asserted-by":"crossref","unstructured":"Rajpurkar P, Zhang J, Lopyrev K, Liang P (2016) Squad: 100,000+ questions for machine comprehension of text. In: Proceedings of the 2016 conference on empirical methods in natural language processing pages, pp 2383\u20132392","DOI":"10.18653\/v1\/D16-1264"},{"key":"7680_CR29","doi-asserted-by":"crossref","unstructured":"Shi B, Weninger T (2017) ProjE: embedding projection for knowledge graph completion. In: AAAI","DOI":"10.1609\/aaai.v31i1.10677"},{"key":"7680_CR30","unstructured":"Wang Z, Li JZ (2016) Text-enhanced representation learning for knowledge graph. In: IJCAI, pp 1293\u20131299"},{"key":"7680_CR31","unstructured":"Wang Z, Li JZ (2016) Text-enhanced representation learning for knowledge graph. In: IJCAI, pp 1293\u20131299"},{"key":"7680_CR32","doi-asserted-by":"crossref","unstructured":"Xiao H, Huang M, Meng L, Zhu X (2017) SSP: semantic space projection for knowledge graph embedding with text descriptions In: AAAI","DOI":"10.1609\/aaai.v31i1.10952"},{"key":"7680_CR33","doi-asserted-by":"crossref","unstructured":"An B, Chen B, Han X, Sun L (2018) Accurate text-enhanced knowledge graph representation learning. In: NAACL, pp 745\u2013755","DOI":"10.18653\/v1\/N18-1068"},{"key":"7680_CR34","unstructured":"Wang H, Kulkarni V, Wang WY (2018) Dolores: Deep contextualized knowledge graph embeddings. arXiv preprint arXiv:1811.00147"},{"key":"7680_CR35","unstructured":"Trouillon T, Welbl J, Riedel S, et al (2016) Complex embeddings for simple link prediction. In: ICML, pp 2071\u20132080"},{"key":"7680_CR36","unstructured":"Sun Z, Deng ZH, Nie JY, Tang J (2019) Rotate: knowledge graph embedding by relational rotation in complex space. In: ICLR"},{"key":"7680_CR37","doi-asserted-by":"crossref","unstructured":"Wang Z, Zhang J, Feng J, Chen Z (2014) Knowledge graph embedding by translating on hyperplanes. In AAAI","DOI":"10.1609\/aaai.v28i1.8870"},{"key":"7680_CR38","doi-asserted-by":"crossref","unstructured":"Lin Y, Liu Z, Sun M, et al (2015) Learning entity and relation embeddings for knowledge graph completion. In: AAAI","DOI":"10.1609\/aaai.v29i1.9491"},{"key":"7680_CR39","doi-asserted-by":"crossref","unstructured":"Ji G, He S, Xu L, et al (2015) Knowledge graph embedding via dynamic mapping matrix. In: ACL, J, pp 687\u2013696","DOI":"10.3115\/v1\/P15-1067"},{"key":"7680_CR40","doi-asserted-by":"crossref","unstructured":"Ji G, Liu K, He S, Zhao J (2016) Knowledge graph completion with adaptive sparse transfer matrix. In: AAAI","DOI":"10.1609\/aaai.v30i1.10089"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-022-07680-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00521-022-07680-w\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-022-07680-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,3,21]],"date-time":"2023-03-21T12:14:52Z","timestamp":1679400892000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00521-022-07680-w"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,8,10]]},"references-count":40,"journal-issue":{"issue":"11","published-print":{"date-parts":[[2023,4]]}},"alternative-id":["7680"],"URL":"https:\/\/doi.org\/10.1007\/s00521-022-07680-w","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"type":"print","value":"0941-0643"},{"type":"electronic","value":"1433-3058"}],"subject":[],"published":{"date-parts":[[2022,8,10]]},"assertion":[{"value":"23 May 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"25 July 2022","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"10 August 2022","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}