{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T17:24:55Z","timestamp":1730222695160,"version":"3.28.0"},"reference-count":27,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T00:00:00Z","timestamp":1658102400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T00:00:00Z","timestamp":1658102400000},"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":[[2022,7,18]]},"DOI":"10.1109\/fuzz-ieee55066.2022.9882620","type":"proceedings-article","created":{"date-parts":[[2022,9,14]],"date-time":"2022-09-14T15:39:59Z","timestamp":1663169999000},"page":"1-10","source":"Crossref","is-referenced-by-count":1,"title":["Semantic Correlation Graph Embedding"],"prefix":"10.1109","author":[{"given":"Weiwei","family":"Wang","sequence":"first","affiliation":[{"name":"Maastricht University,Brightlands Institute for Smart Society (BISS),Heerlen,The Netherlands"}]},{"given":"Yuchen","family":"Han","sequence":"additional","affiliation":[{"name":"Philips,Philips Research China,Shanghai,China"}]},{"given":"Stefano","family":"Bromuri","sequence":"additional","affiliation":[{"name":"Open University,Computer Science Department,Heerlen,The Netherlands"}]},{"given":"Michel","family":"Dumontier","sequence":"additional","affiliation":[{"name":"Maastricht University,Institute of Data Science,Maastricht,The Netherlands"}]}],"member":"263","reference":[{"article-title":"Representation learning on graphs: Methods and applications","year":"2017","author":"hamilton","key":"ref10"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.3233\/SW-160218"},{"key":"ref12","first-page":"2787","article-title":"Translating embeddings for modeling multi-relational data","author":"bordes","year":"2013","journal-title":"Neural Information Processing Systems (NIPS)"},{"article-title":"Knowledge graphs","year":"2020","author":"hogan","key":"ref13"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.3233\/SW-140134"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/1963192.1963296"},{"key":"ref16","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1109\/JPROC.2015.2483592","article-title":"A review of relational machine learning for knowledge graphs","volume":"104","author":"nickel","year":"2015","journal-title":"Proceedings of the IEEE"},{"article-title":"Data augmentation for personal knowledge base population","year":"2020","author":"vannur","key":"ref17"},{"key":"ref18","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1038\/s41598-017-05778-z","article-title":"Learning a health knowledge graph from electronic medical records","volume":"7","author":"rotmensch","year":"2017","journal-title":"Scientific Reports"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2017.2754499"},{"article-title":"Encoding categorical variables with conjugate bayesian models for wework lead scoring engine","year":"2019","author":"slakey","key":"ref4"},{"article-title":"Adult data set","year":"1996","author":"kohavi","key":"ref27"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/507533.507538"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.5120\/ijca2017915495"},{"article-title":"Sampling techniques in bayesian target encoding","year":"2020","author":"larionov","key":"ref5"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1186\/1471-2105-7-488"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TDSC.2017.2697854"},{"article-title":"Entity embeddings of categorical variables","year":"2016","author":"guo","key":"ref2"},{"key":"ref9","first-page":"417","article-title":"Ripplenet: Propagating user preferences on the knowledge graph for recommender systems","author":"wang","year":"2018","journal-title":"Proceedings of ACM International Conference on Information and Knowledge Management"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-020-00305-w"},{"key":"ref20","first-page":"74","article-title":"Relation extraction with matrix factorization and universal schemas","author":"riedel","year":"2013","journal-title":"Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics Human Language Technologies"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v30i1.10314"},{"key":"ref21","article-title":"A three-way model for collective learning on multi-relational data","author":"nickel","year":"2011","journal-title":"ICML"},{"article-title":"Probabilistic reasoning via deep learning: Neural association models","year":"2016","author":"liu","key":"ref24"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-013-5363-6"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.dss.2014.03.001"},{"key":"ref25","first-page":"739","article-title":"Dgl-ke: Training knowledge graph embeddings at scale","author":"zheng","year":"2020","journal-title":"Proceedings of ACM SIGIR International Conference on Research and Development in Information Retrieval"}],"event":{"name":"2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","start":{"date-parts":[[2022,7,18]]},"location":"Padua, Italy","end":{"date-parts":[[2022,7,23]]}},"container-title":["2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9882530\/9882539\/09882620.pdf?arnumber=9882620","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,10,4]],"date-time":"2022-10-04T15:53:06Z","timestamp":1664898786000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9882620\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7,18]]},"references-count":27,"URL":"https:\/\/doi.org\/10.1109\/fuzz-ieee55066.2022.9882620","relation":{},"subject":[],"published":{"date-parts":[[2022,7,18]]}}}