{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,11]],"date-time":"2026-02-11T21:45:10Z","timestamp":1770846310990,"version":"3.50.1"},"reference-count":29,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,10,5]],"date-time":"2025-10-05T00:00:00Z","timestamp":1759622400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,10,5]],"date-time":"2025-10-05T00:00:00Z","timestamp":1759622400000},"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":[[2025,10,5]]},"DOI":"10.1109\/smc58881.2025.11342777","type":"proceedings-article","created":{"date-parts":[[2026,1,28]],"date-time":"2026-01-28T20:54:44Z","timestamp":1769633684000},"page":"2164-2169","source":"Crossref","is-referenced-by-count":0,"title":["Local-Global Collaborative Relational Representation for Understanding Knowledge Graphs"],"prefix":"10.1109","author":[{"given":"Tao","family":"Wang","sequence":"first","affiliation":[{"name":"South China Normal University,School of Computer Science,Guangzhou,China"}]},{"given":"Rongjiao","family":"Liang","sequence":"additional","affiliation":[{"name":"South China Normal University,School of Computer Science,Guangzhou,China"}]},{"given":"Chaoqun","family":"Fei","sequence":"additional","affiliation":[{"name":"South China Normal University,School of Artificial Intelligence,Guangzhou,China"}]},{"given":"Fu Lee","family":"Wang","sequence":"additional","affiliation":[{"name":"Hong Kong Metropolitan University,Hong Kong,China"}]},{"given":"Tianyong","family":"Hao","sequence":"additional","affiliation":[{"name":"South China Normal University,School of Computer Science,Guangzhou,China"}]}],"member":"263","reference":[{"key":"ref1","article-title":"Translating embeddings for modeling multi-relational data","volume":"26","author":"Bordes","year":"2013","journal-title":"Advances in neural information processing systems"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.4324\/9780203786031-11"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.52202\/079017-0227"},{"key":"ref4","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":"ref5","first-page":"9448","article-title":"Inductive relation prediction by subgraph reasoning","volume-title":"International conference on machine learning","author":"Teru"},{"key":"ref6","article-title":"Towards foundation models for knowledge graph reasoning","volume-title":"The Twelfth International Conference on Learning Representations","author":"Galkin"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3639408"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE55515.2023.00098"},{"key":"ref9","first-page":"18796","article-title":"Ingram: Inductive knowledge graph embedding via relation graphs","volume-title":"International Conference on Machine Learning","author":"Lee"},{"key":"ref10","article-title":"Graph transformer networks","volume":"32","author":"Yun","year":"2019","journal-title":"Advances in neural information processing systems"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2024.106781"},{"key":"ref12","article-title":"Recipe for a general, powerful, scalable graph transformer","volume-title":"Proceedings of the 36th International Conference on Neural Information Processing Systems, NIPS \u201922","author":"Ramp\u00e1\u0161ek"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/BigData55660.2022.10020850"},{"key":"ref14","article-title":"KG-BERT: BERT for knowledge graph completion","author":"Yao","year":"2019","journal-title":"CoRR"},{"key":"ref15","article-title":"Differentiable learning of logical rules for knowledge base reasoning","volume":"30","author":"Yang","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref16","article-title":"Drum: End-to-end differentiable rule mining on knowledge graphs","volume":"32","author":"Sadeghian","year":"2019","journal-title":"Advances in neural information processing systems"},{"key":"ref17","article-title":"Nodepiece: Compositional and parameter-efficient representations of large knowledge graphs","volume-title":"International Conference on Learning Representations","author":"Galkin"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/3485447.3512008"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/s11704-023-3521-y"},{"key":"ref20","article-title":"Composition-based multi-relational graph convolutional networks","volume-title":"International Conference on Learning Representations","author":"Vashishth"},{"key":"ref21","first-page":"19714","article-title":"A theory of link prediction via relational weisfeiler-leman on knowledge graphs","volume":"36","author":"Huang","year":"2023","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.669"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/d17-1060"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.459"},{"key":"ref25","article-title":"YAGO3: A Knowledge Base from Multilingual Wikipedias","volume-title":"CIDR","author":"Mahdisoltani"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W15-4007"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11573"},{"key":"ref28","first-page":"59323","article-title":"A* net: A scalable path-based reasoning approach for knowledge graphs","volume":"36","author":"Zhu","year":"2023","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref29","article-title":"Relation prediction as an auxiliary training objective for improving multi-relational graph representations","volume-title":"3rd Conference on Automated Knowledge Base Construction","author":"Chen"}],"event":{"name":"2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","location":"Vienna, Austria","start":{"date-parts":[[2025,10,5]]},"end":{"date-parts":[[2025,10,8]]}},"container-title":["2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11342430\/11342431\/11342777.pdf?arnumber=11342777","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,11]],"date-time":"2026-02-11T20:53:09Z","timestamp":1770843189000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11342777\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,5]]},"references-count":29,"URL":"https:\/\/doi.org\/10.1109\/smc58881.2025.11342777","relation":{},"subject":[],"published":{"date-parts":[[2025,10,5]]}}}