{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,7]],"date-time":"2026-03-07T19:06:45Z","timestamp":1772910405709,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":91,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,4,30]],"date-time":"2023-04-30T00:00:00Z","timestamp":1682812800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Innovative Research Group of the National Natural Science Foundation of China","award":["61721002"],"award-info":[{"award-number":["61721002"]}]},{"name":"Project of China Knowledge Center for Engineering Science and Technology"},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62192781,62272374,62202367,62250009,62137002"],"award-info":[{"award-number":["62192781,62272374,62202367,62250009,62137002"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Project of Chinese academy of engineering ``The Online and Offline Mixed Educational Service System for `The Belt and Road' Training in MOOC China'"},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2020AAA0108800"],"award-info":[{"award-number":["2020AAA0108800"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Innovation Research Team of Ministry of Education","award":["IRT_17R86"],"award-info":[{"award-number":["IRT_17R86"]}]},{"name":"K. C. Wong Education Foundation"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,4,30]]},"DOI":"10.1145\/3543507.3583412","type":"proceedings-article","created":{"date-parts":[[2023,4,26]],"date-time":"2023-04-26T23:30:25Z","timestamp":1682551825000},"page":"2548-2559","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":40,"title":["KRACL: Contrastive Learning with Graph Context Modeling for Sparse Knowledge Graph Completion"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8230-6238","authenticated-orcid":false,"given":"Zhaoxuan","family":"Tan","sequence":"first","affiliation":[{"name":"Xi'an Jiaotong University, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0400-9470","authenticated-orcid":false,"given":"Zilong","family":"Chen","sequence":"additional","affiliation":[{"name":"Tsinghua University, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4133-1987","authenticated-orcid":false,"given":"Shangbin","family":"Feng","sequence":"additional","affiliation":[{"name":"University of Washington, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9197-1141","authenticated-orcid":false,"given":"Qingyue","family":"Zhang","sequence":"additional","affiliation":[{"name":"Xi'an Jiaotong University, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8436-4754","authenticated-orcid":false,"given":"Qinghua","family":"Zheng","sequence":"additional","affiliation":[{"name":"Xi'an Jiaotong University, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1878-817X","authenticated-orcid":false,"given":"Jundong","family":"Li","sequence":"additional","affiliation":[{"name":"University of Virginia, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0140-7860","authenticated-orcid":false,"given":"Minnan","family":"Luo","sequence":"additional","affiliation":[{"name":"Xi'an Jiaotong University, China"}]}],"member":"320","published-online":{"date-parts":[[2023,4,30]]},"reference":[{"key":"e_1_3_2_2_1_1","first-page":"1","article-title":"PyKEEN 1.0: A Python Library for Training and Evaluating Knowledge Graph Embeddings.","volume":"22","author":"Ali Mehdi","year":"2021","unstructured":"Mehdi Ali, Max Berrendorf, Charles\u00a0Tapley Hoyt, Laurent Vermue, Sahand Sharifzadeh, Volker Tresp, and Jens Lehmann. 2021. PyKEEN 1.0: A Python Library for Training and Evaluating Knowledge Graph Embeddings.J. Mach. Learn. Res. 22, 82 (2021), 1\u20136.","journal-title":"J. Mach. Learn. Res."},{"key":"e_1_3_2_2_2_1","volume-title":"Hypernetwork Knowledge Graph Embeddings. In International Conference on Artificial Neural Networks.","author":"Bala\u017eevi\u0107 Ivana","year":"2019","unstructured":"Ivana Bala\u017eevi\u0107, Carl Allen, and Timothy\u00a0M Hospedales. 2019. Hypernetwork Knowledge Graph Embeddings. In International Conference on Artificial Neural Networks."},{"key":"e_1_3_2_2_3_1","volume-title":"Multi-relational poincar\u00e9 graph embeddings. Advances in Neural Information Processing Systems 32","author":"Balazevic Ivana","year":"2019","unstructured":"Ivana Balazevic, Carl Allen, and Timothy Hospedales. 2019. Multi-relational poincar\u00e9 graph embeddings. Advances in Neural Information Processing Systems 32 (2019)."},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1522"},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1431"},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/1376616.1376746"},{"key":"e_1_3_2_2_7_1","volume-title":"Translating embeddings for modeling multi-relational data. Advances in neural information processing systems 26","author":"Bordes Antoine","year":"2013","unstructured":"Antoine Bordes, Nicolas Usunier, Alberto Garcia-Duran, Jason Weston, and Oksana Yakhnenko. 2013. Translating embeddings for modeling multi-relational data. Advances in neural information processing systems 26 (2013)."},{"key":"e_1_3_2_2_8_1","volume-title":"Learning imbalanced datasets with label-distribution-aware margin loss. Advances in neural information processing systems 32","author":"Cao Kaidi","year":"2019","unstructured":"Kaidi Cao, Colin Wei, Adrien Gaidon, Nikos Arechiga, and Tengyu Ma. 2019. Learning imbalanced datasets with label-distribution-aware margin loss. Advances in neural information processing systems 32 (2019)."},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"crossref","unstructured":"Yixin Cao Xiang Wang Xiangnan He Zikun Hu and Tat-Seng Chua. 2019. Unifying knowledge graph learning and recommendation: Towards a better understanding of user preferences. In The world wide web conference. 151\u2013161.","DOI":"10.1145\/3308558.3313705"},{"key":"e_1_3_2_2_10_1","volume-title":"Geometry Interaction Knowledge Graph Embeddings. In AAAI Conference on Artificial Intelligence.","author":"Cao Zongsheng","year":"2022","unstructured":"Zongsheng Cao, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, and Qingming Huang. 2022. Geometry Interaction Knowledge Graph Embeddings. In AAAI Conference on Artificial Intelligence."},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.617"},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.emnlp-main.812"},{"key":"e_1_3_2_2_13_1","volume-title":"International conference on machine learning. PMLR, 1597\u20131607","author":"Chen Ting","year":"2020","unstructured":"Ting Chen, Simon Kornblith, Mohammad Norouzi, and Geoffrey Hinton. 2020. A simple framework for contrastive learning of visual representations. In International conference on machine learning. PMLR, 1597\u20131607."},{"key":"e_1_3_2_2_14_1","volume-title":"Proceedings of NAACL-HLT. 327\u2013333","author":"Dai Quoc\u00a0Nguyen Dinh\u00a0Nguyen","year":"2018","unstructured":"Tu\u00a0Dinh\u00a0Nguyen Dai Quoc\u00a0Nguyen, Dat\u00a0Quoc Nguyen, and Dinh Phung. 2018. A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural Network. In Proceedings of NAACL-HLT. 327\u2013333."},{"key":"e_1_3_2_2_15_1","volume-title":"Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 6338\u20136353","author":"Snigdha\u00a0Sarathi Das Sarkar","year":"2022","unstructured":"Sarkar Snigdha\u00a0Sarathi Das, Arzoo Katiyar, Rebecca\u00a0J Passonneau, and Rui Zhang. 2022. CONTaiNER: Few-Shot Named Entity Recognition via Contrastive Learning. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 6338\u20136353."},{"key":"e_1_3_2_2_16_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11573"},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/2623330.2623623"},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"publisher","unstructured":"William Falcon and The PyTorch Lightning team. 2019. PyTorch Lightning. https:\/\/doi.org\/10.5281\/zenodo.3828935","DOI":"10.5281\/zenodo.3828935"},{"key":"e_1_3_2_2_19_1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/230"},{"key":"e_1_3_2_2_20_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i4.20313"},{"key":"e_1_3_2_2_21_1","volume-title":"Fast graph representation learning with PyTorch Geometric. arXiv preprint arXiv:1903.02428","author":"Fey Matthias","year":"2019","unstructured":"Matthias Fey and Jan\u00a0Eric Lenssen. 2019. Fast graph representation learning with PyTorch Geometric. arXiv preprint arXiv:1903.02428 (2019)."},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33018303"},{"key":"e_1_3_2_2_23_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.emnlp-main.552"},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/3485447.3511937"},{"key":"e_1_3_2_2_25_1","volume-title":"Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning. In International Conference on Learning Representations.","author":"Gunel Beliz","year":"2020","unstructured":"Beliz Gunel, Jingfei Du, Alexis Conneau, and Veselin Stoyanov. 2020. Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning. In International Conference on Learning Representations."},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2006.100"},{"key":"e_1_3_2_2_27_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-2024"},{"key":"e_1_3_2_2_28_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00975"},{"key":"e_1_3_2_2_29_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.123"},{"key":"e_1_3_2_2_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/2806416.2806502"},{"key":"e_1_3_2_2_31_1","unstructured":"Thomas\u00a0N Kipf and Max Welling. 2019. Semi-Supervised Classification with Graph Convolutional Networks. (2019)."},{"key":"e_1_3_2_2_32_1","doi-asserted-by":"publisher","DOI":"10.1145\/1273496.1273551"},{"key":"e_1_3_2_2_33_1","doi-asserted-by":"publisher","DOI":"10.1145\/3485447.3512208"},{"key":"e_1_3_2_2_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/3485447.3511994"},{"key":"e_1_3_2_2_35_1","volume-title":"DRGI: Deep Relational Graph Infomax for Knowledge Graph Completion","author":"Liang Shuang","year":"2021","unstructured":"Shuang Liang, Jie Shao, Dongyang Zhang, Jiasheng Zhang, and Bin Cui. 2021. DRGI: Deep Relational Graph Infomax for Knowledge Graph Completion. IEEE Transactions on Knowledge and Data Engineering (2021)."},{"key":"e_1_3_2_2_36_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-1362"},{"key":"e_1_3_2_2_37_1","doi-asserted-by":"publisher","DOI":"10.5555\/2886521.2886624"},{"key":"e_1_3_2_2_38_1","unstructured":"Weiyang Liu Yandong Wen Zhiding Yu and Meng Yang. 2016. Large-Margin Softmax Loss for Convolutional Neural Networks. In ICML."},{"key":"e_1_3_2_2_39_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i7.16796"},{"key":"e_1_3_2_2_40_1","doi-asserted-by":"publisher","DOI":"10.1145\/219717.219748"},{"key":"e_1_3_2_2_41_1","doi-asserted-by":"publisher","DOI":"10.1145\/3191513"},{"key":"e_1_3_2_2_42_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1466"},{"key":"e_1_3_2_2_43_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i10.17095"},{"key":"e_1_3_2_2_44_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v30i1.10314"},{"key":"e_1_3_2_2_45_1","unstructured":"Maximilian Nickel Volker Tresp and Hans-Peter Kriegel. 2011. A three-way model for collective learning on multi-relational data. In Icml."},{"key":"e_1_3_2_2_46_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.acl-long.205"},{"key":"e_1_3_2_2_47_1","doi-asserted-by":"publisher","DOI":"10.1145\/3485447.3512160"},{"key":"e_1_3_2_2_48_1","unstructured":"Adam Paszke Sam Gross Soumith Chintala Gregory Chanan Edward Yang Zachary DeVito Zeming Lin Alban Desmaison Luca Antiga and Adam Lerer. 2017. Automatic differentiation in pytorch. (2017)."},{"key":"e_1_3_2_2_49_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D17-1184"},{"key":"e_1_3_2_2_50_1","volume-title":"International Conference on Machine Learning. PMLR, 8748\u20138763","author":"Radford Alec","year":"2021","unstructured":"Alec Radford, Jong\u00a0Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, 2021. Learning transferable visual models from natural language supervision. In International Conference on Machine Learning. PMLR, 8748\u20138763."},{"key":"e_1_3_2_2_51_1","doi-asserted-by":"publisher","DOI":"10.1145\/3404835.3462839"},{"key":"e_1_3_2_2_52_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.acl-long.201"},{"key":"e_1_3_2_2_53_1","volume-title":"Ivan Titov, and Max Welling.","author":"Schlichtkrull Michael","year":"2018","unstructured":"Michael Schlichtkrull, Thomas\u00a0N Kipf, Peter Bloem, Rianne van\u00a0den Berg, Ivan Titov, and Max Welling. 2018. Modeling relational data with graph convolutional networks. In European semantic web conference. Springer, 593\u2013607."},{"key":"e_1_3_2_2_54_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33013060"},{"key":"e_1_3_2_2_55_1","doi-asserted-by":"publisher","DOI":"10.1145\/1242572.1242667"},{"key":"e_1_3_2_2_56_1","volume-title":"International Conference on Learning Representations.","author":"Sun Zhiqing","year":"2018","unstructured":"Zhiqing Sun, Zhi-Hong Deng, Jian-Yun Nie, and Jian Tang. 2018. RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space. In International Conference on Learning Representations."},{"key":"e_1_3_2_2_57_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.489"},{"key":"e_1_3_2_2_58_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.241"},{"key":"e_1_3_2_2_59_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58621-8_45"},{"key":"e_1_3_2_2_60_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W15-4007"},{"key":"e_1_3_2_2_61_1","volume-title":"International conference on machine learning. PMLR","author":"Trouillon Th\u00e9o","year":"2016","unstructured":"Th\u00e9o Trouillon, Johannes Welbl, Sebastian Riedel, \u00c9ric Gaussier, and Guillaume Bouchard. 2016. Complex embeddings for simple link prediction. In International conference on machine learning. PMLR, 2071\u20132080."},{"key":"e_1_3_2_2_62_1","volume-title":"Visualizing data using t-SNE.Journal of machine learning research 9, 11","author":"Maaten Laurens Van\u00a0der","year":"2008","unstructured":"Laurens Van\u00a0der Maaten and Geoffrey Hinton. 2008. Visualizing data using t-SNE.Journal of machine learning research 9, 11 (2008)."},{"key":"e_1_3_2_2_63_1","volume-title":"Composition-based Multi-Relational Graph Convolutional Networks. In International Conference on Learning Representations.","author":"Vashishth Shikhar","year":"2019","unstructured":"Shikhar Vashishth, Soumya Sanyal, Vikram Nitin, and Partha Talukdar. 2019. Composition-based Multi-Relational Graph Convolutional Networks. In International Conference on Learning Representations."},{"key":"e_1_3_2_2_64_1","volume-title":"Graph Attention Networks. In International Conference on Learning Representations.","author":"Veli\u010dkovi\u0107 Petar","year":"2018","unstructured":"Petar Veli\u010dkovi\u0107, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Li\u00f2, and Yoshua Bengio. 2018. Graph Attention Networks. In International Conference on Learning Representations."},{"key":"e_1_3_2_2_65_1","volume-title":"Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies","volume":"1","author":"Vu Thanh","year":"2019","unstructured":"Thanh Vu, Tu\u00a0Dinh Nguyen, Dat\u00a0Quoc Nguyen, Dinh Phung, 2019. A capsule network-based embedding model for knowledge graph completion and search personalization. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers). 2180\u20132189."},{"key":"e_1_3_2_2_66_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00252"},{"key":"e_1_3_2_2_67_1","doi-asserted-by":"crossref","unstructured":"Hongwei Wang Fuzheng Zhang Miao Zhao Wenjie Li Xing Xie and Minyi Guo. 2019. Multi-task feature learning for knowledge graph enhanced recommendation. In The world wide web conference. 2000\u20132010.","DOI":"10.1145\/3308558.3313411"},{"key":"e_1_3_2_2_68_1","doi-asserted-by":"publisher","DOI":"10.1145\/3485447.3511927"},{"key":"e_1_3_2_2_69_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.acl-long.295"},{"key":"e_1_3_2_2_70_1","doi-asserted-by":"publisher","DOI":"10.1145\/3366423.3380098"},{"key":"e_1_3_2_2_71_1","doi-asserted-by":"publisher","DOI":"10.1145\/3485447.3512207"},{"key":"e_1_3_2_2_72_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v28i1.8870"},{"key":"e_1_3_2_2_73_1","doi-asserted-by":"publisher","DOI":"10.1145\/3459637.3482424"},{"key":"e_1_3_2_2_74_1","doi-asserted-by":"publisher","DOI":"10.1145\/3485447.3512156"},{"key":"e_1_3_2_2_75_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i5.16576"},{"key":"e_1_3_2_2_76_1","volume-title":"Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence. 1315\u20131321","author":"Xiao Han","year":"2016","unstructured":"Han Xiao, Minlie Huang, and Xiaoyan Zhu. 2016. From one point to a manifold: knowledge graph embedding for precise link prediction. In Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence. 1315\u20131321."},{"key":"e_1_3_2_2_77_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P16-1219"},{"key":"e_1_3_2_2_78_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D17-1060"},{"key":"e_1_3_2_2_79_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i10.21409"},{"key":"e_1_3_2_2_80_1","volume-title":"Proceedings of the International Conference on Learning Representations (ICLR)","author":"Yang Bishan","year":"2015","unstructured":"Bishan Yang, Scott Wen-tau Yih, Xiaodong He, Jianfeng Gao, and Li Deng. 2015. Embedding Entities and Relations for Learning and Inference in Knowledge Bases. In Proceedings of the International Conference on Learning Representations (ICLR) 2015."},{"key":"e_1_3_2_2_81_1","doi-asserted-by":"publisher","DOI":"10.1145\/3485447.3512211"},{"key":"e_1_3_2_2_82_1","doi-asserted-by":"publisher","DOI":"10.1145\/3477495.3532009"},{"key":"e_1_3_2_2_83_1","volume-title":"KG-BERT: BERT for knowledge graph completion. arXiv preprint arXiv:1909.03193","author":"Yao Liang","year":"2019","unstructured":"Liang Yao, Chengsheng Mao, and Yuan Luo. 2019. KG-BERT: BERT for knowledge graph completion. arXiv preprint arXiv:1909.03193 (2019)."},{"key":"e_1_3_2_2_84_1","first-page":"5812","article-title":"Graph contrastive learning with augmentations","volume":"33","author":"You Yuning","year":"2020","unstructured":"Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, and Yang Shen. 2020. Graph contrastive learning with augmentations. Advances in Neural Information Processing Systems 33 (2020), 5812\u20135823.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_2_85_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.naacl-main.304"},{"key":"e_1_3_2_2_86_1","doi-asserted-by":"publisher","DOI":"10.1145\/3485447.3512008"},{"key":"e_1_3_2_2_87_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i03.5701"},{"key":"e_1_3_2_2_88_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i05.6508"},{"key":"e_1_3_2_2_89_1","doi-asserted-by":"publisher","DOI":"10.1145\/3485447.3511928"},{"key":"e_1_3_2_2_90_1","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3449802"},{"key":"e_1_3_2_2_91_1","first-page":"29476","article-title":"Neural bellman-ford networks: A general graph neural network framework for link prediction","volume":"34","author":"Zhu Zhaocheng","year":"2021","unstructured":"Zhaocheng Zhu, Zuobai Zhang, Louis-Pascal Xhonneux, and Jian Tang. 2021. Neural bellman-ford networks: A general graph neural network framework for link prediction. Advances in Neural Information Processing Systems 34 (2021), 29476\u201329490.","journal-title":"Advances in Neural Information Processing Systems"}],"event":{"name":"WWW '23: The ACM Web Conference 2023","location":"Austin TX USA","acronym":"WWW '23","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web"]},"container-title":["Proceedings of the ACM Web Conference 2023"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3543507.3583412","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3543507.3583412","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T16:47:52Z","timestamp":1750178872000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3543507.3583412"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,4,30]]},"references-count":91,"alternative-id":["10.1145\/3543507.3583412","10.1145\/3543507"],"URL":"https:\/\/doi.org\/10.1145\/3543507.3583412","relation":{},"subject":[],"published":{"date-parts":[[2023,4,30]]},"assertion":[{"value":"2023-04-30","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}