{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,8]],"date-time":"2026-03-08T01:37:04Z","timestamp":1772933824004,"version":"3.50.1"},"reference-count":42,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,12,8]],"date-time":"2025-12-08T00:00:00Z","timestamp":1765152000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,12,8]],"date-time":"2025-12-08T00:00:00Z","timestamp":1765152000000},"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":[[2025,12,8]]},"DOI":"10.1109\/bigdata66926.2025.11400828","type":"proceedings-article","created":{"date-parts":[[2026,3,6]],"date-time":"2026-03-06T20:57:57Z","timestamp":1772830677000},"page":"5623-5631","source":"Crossref","is-referenced-by-count":0,"title":["HyperComplEx: Adaptive Multi-Space Knowledge Graph Embeddings"],"prefix":"10.1109","author":[{"given":"Jugal","family":"Gajjar","sequence":"first","affiliation":[{"name":"The George Washington University,Computer Science Department,Washington D.C,USA"}]},{"given":"Kaustik","family":"Ranaware","sequence":"additional","affiliation":[{"name":"The George Washington University,Computer Science Department,Washington D.C,USA"}]},{"given":"Kamalasankari","family":"Subramaniakuppusamy","sequence":"additional","affiliation":[{"name":"The George Washington University,Computer Science Department,Washington D.C,USA"}]},{"given":"Vaibhav C.","family":"Gandhi","sequence":"additional","affiliation":[{"name":"MBIT, The Charutar Vidya Mandal (CVM) University,Department of Computer Engineering,Anand,Gujarat,India"}]}],"member":"263","reference":[{"key":"ref1","article-title":"Introducing the knowledge graph: Things, not strings","author":"Singhal","year":"2012","journal-title":"Google Blog"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3308558.3313417"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/bty294"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/2740908.2742839"},{"key":"ref5","article-title":"Yago3: A knowledge base from multilingual wikipedias","author":"Mahdisoltani","year":"2013","journal-title":"CIDR"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2017.2754499"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3424672"},{"key":"ref8","first-page":"26","article-title":"Translating embeddings for modeling multi-relational data","author":"Bordes","year":"2013","journal-title":"Advances in neural information processing systems"},{"key":"ref9","author":"Sun","year":"2019","journal-title":"Rotate: Knowledge graph embedding by relational rotation in complex space"},{"key":"ref10","author":"Niu","year":"2024","journal-title":"Knowledge Graph Embeddings: A Comprehensive Sur-vey on Capturing Relation Properties."},{"key":"ref11","author":"Yang","year":"2014","journal-title":"Embedding entities and relations for learning and inference in knowledge bases."},{"key":"ref12","first-page":"2071","article-title":"Complex embeddings for simple link prediction","volume-title":"In International conference on machine learning","author":"Trouillon","year":"2016"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3543507.3583358"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/3534678.3539333"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/3643806"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v28i1.8870"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v29i1.9491"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P15-1067"},{"key":"ref19","article-title":"Simple embedding for link prediction in knowledge graphs","volume":"31","author":"Kazemi","year":"2018","journal-title":"Advances in neural information processing systems"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/d19-1522"},{"key":"ref21","article-title":"Poincare embeddings for learning hierarchical representations","volume":"30","author":"Nickel","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref22","article-title":"Multi-relational poincare graph embeddings","volume":"32","author":"Balazevic","year":"2019","journal-title":"Advances in neural information processing systems"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i8.16850"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i10.17095"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-93417-4_38"},{"key":"ref26","author":"Vashishth","year":"2019","journal-title":"Composition-based multi-relational graph convolutional networks"},{"key":"ref27","first-page":"29476","article-title":"Neural bellman-ford networks: A general graph neural network framework for link prediction","volume":"34","author":"Zhu","year":"2021","journal-title":"Advances in neural information processing systems"},{"key":"ref28","author":"Trajanoska","year":"2023","journal-title":"Enhancing knowl-edge graph construction using large language models."},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/s40747-024-01527-8"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP49660.2025.10889242"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.617"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.emnlp-main.349"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-025-01150-2"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4471-3987-4"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-49461-2_12"},{"key":"ref36","author":"Micikevicius","year":"2017","journal-title":"Mixed precision training."},{"key":"ref37","author":"Kingma","year":"2014","journal-title":"CoRR, abs\/1412.6980"},{"issue":"7","key":"ref38","article-title":"Adaptive subgradient methods for online learning and stochastic optimization","volume":"12","author":"Duchi","year":"2011","journal-title":"Journal of machine learning research"},{"key":"ref39","author":"Priem","year":"2022","journal-title":"OpenAlex: A fully-open index of scholarly works, authors, venues, institutions, and concepts."},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1145\/3487553.3527147"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-68288-4_37"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.7554\/eLife.26726"}],"event":{"name":"2025 IEEE International Conference on Big Data (BigData)","location":"Macau, China","start":{"date-parts":[[2025,12,8]]},"end":{"date-parts":[[2025,12,11]]}},"container-title":["2025 IEEE International Conference on Big Data (BigData)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11400704\/11400712\/11400828.pdf?arnumber=11400828","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,7]],"date-time":"2026-03-07T06:52:47Z","timestamp":1772866367000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11400828\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,12,8]]},"references-count":42,"URL":"https:\/\/doi.org\/10.1109\/bigdata66926.2025.11400828","relation":{},"subject":[],"published":{"date-parts":[[2025,12,8]]}}}