{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,24]],"date-time":"2026-07-24T14:49:10Z","timestamp":1784904550761,"version":"3.55.0"},"reference-count":35,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,6,30]],"date-time":"2024-06-30T00:00:00Z","timestamp":1719705600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,6,30]],"date-time":"2024-06-30T00:00:00Z","timestamp":1719705600000},"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":[[2024,6,30]]},"DOI":"10.1109\/ijcnn60899.2024.10649935","type":"proceedings-article","created":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T13:35:05Z","timestamp":1725888905000},"page":"1-8","source":"Crossref","is-referenced-by-count":6,"title":["MGKT: A Multi-Relation Enhanced Graph-Based Model for Knowledge Tracing"],"prefix":"10.1109","author":[{"given":"Yingchao","family":"Long","sequence":"first","affiliation":[{"name":"South China Normal University,School of Artificial Intelligence,Foshan,China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Weihao","family":"Yu","sequence":"additional","affiliation":[{"name":"China Telecom Corporate Ltd.,Research Institute of China Telecom Corporate Ltd.,Guangzhou,China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jin","family":"Huang","sequence":"additional","affiliation":[{"name":"South China Normal University,School of Computer Science,Guangzhou,China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tinghua","family":"Zhang","sequence":"additional","affiliation":[{"name":"China Electronic Product Reliability and Environmental Testing Research Institute,Guangzhou,China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nanhui","family":"Lai","sequence":"additional","affiliation":[{"name":"South China Normal University,School of Artificial Intelligence,Foshan,China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/3490476"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3158670"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3340531.3412110"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3569576"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/BF01099821"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2978386"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2021.3083177"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-99-8067-3_16"},{"key":"ref9","first-page":"531","article-title":"Performance Factors Analysis-A New Alternative to Knowledge Tracing","volume-title":"Proceedings of the 14th International Conference on Artificial Intelligence in Education","author":"Pavlik"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.5555\/2969239.2969296"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/3038912.3052580"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3331184.3331195"},{"key":"ref13","first-page":"384","article-title":"A self-attentive model for knowledge tracing","volume-title":"Proceedings of the 12th International Conference on Educational Data Mining","author":"Pandey"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403282"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-52240-7_66"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-67658-2_18"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/3485447.3512105"},{"key":"ref19","first-page":"156","article-title":"Graph-based knowledge tracing: modeling student proficiency using graph neural network","volume-title":"IEEE\/WIC\/ACM International Conference on Web Intelligence","author":"Nakagawa"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2020\/219"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM50108.2020.00063"},{"key":"ref22","article-title":"Semi-supervised classification with graph convolutional networks","volume-title":"5th International Conference on Learning Representations (ICLR)","author":"Kipf"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2023.01.039"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-13470-8_24"},{"key":"ref25","first-page":"118","article-title":"The Impact on Individualizing Student Models on Necessary Practice Opportunities","author":"Lee","year":"2012","journal-title":"International Educational Data Mining Society"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TLT.2017.2689017"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.3301750"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11864"},{"key":"ref29","article-title":"Learning deep representations by mutual information estimation and maximization","volume-title":"7th International Conference on Learning Representations (ICLR)","author":"Hjelm"},{"key":"ref30","first-page":"15509","article-title":"Learning representations by maximizing mutual information across views","author":"Bachman","year":"2019","journal-title":"Advances in neural information processing systems (NIPS)"},{"key":"ref31","article-title":"Deep graph infomax","volume-title":"7th International Conference on Learning Representations (ICLR)","author":"Veli\u010dkovi\u0107"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/3543507.3583866"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2022.108274"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-52240-7_13"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1145\/3308558.3313565"}],"event":{"name":"2024 International Joint Conference on Neural Networks (IJCNN)","location":"Yokohama, Japan","start":{"date-parts":[[2024,6,30]]},"end":{"date-parts":[[2024,7,5]]}},"container-title":["2024 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10649807\/10649898\/10649935.pdf?arnumber=10649935","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,17]],"date-time":"2026-02-17T21:01:27Z","timestamp":1771362087000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10649935\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6,30]]},"references-count":35,"URL":"https:\/\/doi.org\/10.1109\/ijcnn60899.2024.10649935","relation":{},"subject":[],"published":{"date-parts":[[2024,6,30]]}}}