{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,17]],"date-time":"2026-01-17T04:00:03Z","timestamp":1768622403360,"version":"3.49.0"},"publisher-location":"New York, NY, USA","reference-count":32,"publisher":"ACM","license":[{"start":{"date-parts":[[2019,9,23]],"date-time":"2019-09-23T00:00:00Z","timestamp":1569196800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2019,9,23]]},"DOI":"10.1145\/3360901.3364441","type":"proceedings-article","created":{"date-parts":[[2019,11,14]],"date-time":"2019-11-14T22:18:50Z","timestamp":1573769930000},"page":"131-138","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":66,"title":["TransGCN"],"prefix":"10.1145","author":[{"given":"Ling","family":"Cai","sequence":"first","affiliation":[{"name":"University of California, Santa Barbara, Santa Barbara, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bo","family":"Yan","sequence":"additional","affiliation":[{"name":"University of California, Santa Barbara, Santa Barbara, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gengchen","family":"Mai","sequence":"additional","affiliation":[{"name":"University of California, Santa Barbara, Santa Barbara, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Krzysztof","family":"Janowicz","sequence":"additional","affiliation":[{"name":"University of California, Santa Barbara, Santa Barbara, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rui","family":"Zhu","sequence":"additional","affiliation":[{"name":"University of California, Santa Barbara, Santa Barbara, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2019,9,23]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"Antoine Bordes Nicolas Usunier Alberto Garcia-Duran Jason Weston and Oksana Yakhnenko. 2013. Translating embeddings for modeling multi-relational data. In Advances in neural information processing systems. 2787--2795.  Antoine Bordes Nicolas Usunier Alberto Garcia-Duran Jason Weston and Oksana Yakhnenko. 2013. Translating embeddings for modeling multi-relational data. In Advances in neural information processing systems. 2787--2795."},{"key":"e_1_3_2_1_2_1","volume-title":"Proceedings of the 32th AAAI Conference on Artificial Intelligence. 1811--1818","author":"Dettmers Tim","year":"2018"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.5555\/3032027.3032102"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219947"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.5555\/3305381.3305512"},{"key":"e_1_3_2_1_6_1","unstructured":"Will Hamilton Zhitao Ying and Jure Leskovec. 2017. Inductive representation learning on large graphs. In Advances in Neural Information Processing Systems. 1024--1034.  Will Hamilton Zhitao Ying and Jure Leskovec. 2017. Inductive representation learning on large graphs. In Advances in Neural Information Processing Systems. 1024--1034."},{"key":"e_1_3_2_1_7_1","unstructured":"William L. Hamilton Payal Bajaj Marinka Zitnik Daniel Jurafsky and Jure Leskovec. 2018. Embedding Logical Queries on Knowledge Graphs. In NeurIPS.  William L. Hamilton Payal Bajaj Marinka Zitnik Daniel Jurafsky and Jure Leskovec. 2018. Embedding Logical Queries on Knowledge Graphs. In NeurIPS."},{"key":"e_1_3_2_1_8_1","volume-title":"Deep Residual Learning for Image Recognition. In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR).","author":"He Kaiming","year":"2016"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P15-1067"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.5555\/3015812.3015959"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10822-016-9938-8"},{"key":"e_1_3_2_1_12_1","volume-title":"Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980","author":"Kingma Diederik P","year":"2014"},{"key":"e_1_3_2_1_13_1","unstructured":"Thomas N Kipf and MaxWelling. 2016. Semi-supervised classification with graph convolutional networks. arXiv preprint arXiv:1609.02907 (2016).  Thomas N Kipf and MaxWelling. 2016. Semi-supervised classification with graph convolutional networks. arXiv preprint arXiv:1609.02907 (2016)."},{"key":"e_1_3_2_1_14_1","unstructured":"Daphne Koller Nir Friedman Sao Deroski Charles Sutton Andrew McCallum Avi Pfeffer Pieter Abbeel Ming-Fai Wong David Heckerman Chris Meek etal 2007. Introduction to statistical relational learning. MIT press.  Daphne Koller Nir Friedman Sao Deroski Charles Sutton Andrew McCallum Avi Pfeffer Pieter Abbeel Ming-Fai Wong David Heckerman Chris Meek et al. 2007. Introduction to statistical relational learning. MIT press."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11604"},{"key":"e_1_3_2_1_16_1","volume-title":"Thirty-Second AAAI Conference on Artificial Intelligence.","author":"Li Ruoyu","year":"2018"},{"key":"e_1_3_2_1_17_1","unstructured":"Yankai Lin Zhiyuan Liu Huanbo Luan Maosong Sun Siwei Rao and Song Liu. 2015. Modeling relation paths for representation learning of knowledge bases. arXiv preprint arXiv:1506.00379 (2015).  Yankai Lin Zhiyuan Liu Huanbo Luan Maosong Sun Siwei Rao and Song Liu. 2015. Modeling relation paths for representation learning of knowledge bases. arXiv preprint arXiv:1506.00379 (2015)."},{"key":"e_1_3_2_1_18_1","volume-title":"Proceedings of 22nd AGILE International Conference on Geographic Information Science, Jun. 17--10","author":"Mai Gengchen","year":"2019"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"crossref","unstructured":"Arvind Neelakantan Benjamin Roth and Andrew McCallum. 2015. Compositional vector space models for knowledge base inference. In 2015 aaai spring symposium series.  Arvind Neelakantan Benjamin Roth and Andrew McCallum. 2015. Compositional vector space models for knowledge base inference. In 2015 aaai spring symposium series.","DOI":"10.3115\/v1\/P15-1016"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N18-2053"},{"key":"e_1_3_2_1_21_1","first-page":"809","article-title":"A Three-Way Model for Collective Learning on Multi-Relational Data","volume":"11","author":"Nickel Maximilian","year":"2011","journal-title":"ICML"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-93417-4_38"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2012.2235192"},{"key":"e_1_3_2_1_24_1","volume-title":"International Conference on Learning Representations. https:\/\/openreview.net\/forum?id= HkgEQnRqYQ","author":"Sun Zhiqing","year":"2019"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W15-4007"},{"key":"e_1_3_2_1_26_1","volume-title":"International Conference on Machine Learning. 2071--2080","author":"Trouillon Th\u00e9o","year":"2016"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2017.2754499"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.5555\/2893873.2894046"},{"key":"e_1_3_2_1_29_1","unstructured":"Zonghan Wu Shirui Pan Fengwen Chen Guodong Long Chengqi Zhang and Philip S Yu. 2019. A comprehensive survey on graph neural networks. arXiv preprint arXiv:1901.00596 (2019).  Zonghan Wu Shirui Pan Fengwen Chen Guodong Long Chengqi Zhang and Philip S Yu. 2019. A comprehensive survey on graph neural networks. arXiv preprint arXiv:1901.00596 (2019)."},{"key":"e_1_3_2_1_30_1","unstructured":"Bo Yan MatthewWalker and Krzysztof Janowicz. 2019. A Time-Aware Inductive Representation Learning Strategy for Heterogeneous Graphs. (2019).  Bo Yan MatthewWalker and Krzysztof Janowicz. 2019. A Time-Aware Inductive Representation Learning Strategy for Heterogeneous Graphs. (2019)."},{"key":"e_1_3_2_1_31_1","unstructured":"Bishan Yang Wen-tau Yih Xiaodong He Jianfeng Gao and Li Deng. 2014. Embedding entities and relations for learning and inference in knowledge bases. arXiv preprint arXiv:1412.6575 (2014).  Bishan Yang Wen-tau Yih Xiaodong He Jianfeng Gao and Li Deng. 2014. Embedding entities and relations for learning and inference in knowledge bases. arXiv preprint arXiv:1412.6575 (2014)."},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219890"}],"event":{"name":"K-CAP '19: Knowledge Capture Conference","location":"Marina Del Rey CA USA","acronym":"K-CAP '19","sponsor":["SIGAI ACM Special Interest Group on Artificial Intelligence"]},"container-title":["Proceedings of the 10th International Conference on Knowledge Capture"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3360901.3364441","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3360901.3364441","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T23:44:37Z","timestamp":1750203877000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3360901.3364441"}},"subtitle":["Coupling Transformation Assumptions with Graph Convolutional Networks for Link Prediction"],"short-title":[],"issued":{"date-parts":[[2019,9,23]]},"references-count":32,"alternative-id":["10.1145\/3360901.3364441","10.1145\/3360901"],"URL":"https:\/\/doi.org\/10.1145\/3360901.3364441","relation":{},"subject":[],"published":{"date-parts":[[2019,9,23]]},"assertion":[{"value":"2019-09-23","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}