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Recently, a considerable literature has grown up around the theme of Graph Convolutional Network (GCN).
Holographic Embeddings of Knowledge Graphs. In Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, February 12-17, 2016, Phoenix, Arizona, USA , Dale Schuurmans and Michael P. Wellman (Eds.). AAAI Press, 1955–1961
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Freebase: a collaboratively created graph database for structuring human knowledge. In Proceedings of the 2008 ACM SIGMOD international conference on Management of data . 1247–1250
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Translating Embeddings for Modeling Multi-relational Data. In Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013, Lake Tahoe, Nevada, United States , Christopher J. C. Burges, Léon Bottou, Zoubin Ghahramani, and Kilian Q. Weinberger (Eds.). 2787–2795
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Reasoning With Neural Tensor Networks for Knowledge Base Completion. In Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013, Lake Tahoe, Nevada, United States , Christopher J. C. Burges, Léon Bottou, Zoubin Ghahramani, and Kilian Q. Weinberger (Eds.). 926–934
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Knowledge vault: a web-scale approach to probabilistic knowledge fusion. In The 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD ’14, New York, NY, USA - August 24 - 27, 2014 , Sofus A. Macskassy, Claudia Perlich, Jure Leskovec, Wei Wang, and Rayid Ghani (Eds.). ACM, 601–610
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Knowledge Graph Embedding by Translating on Hyperplanes. In Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, July 27 -31, 2014, Québec City, Québec, Canada , Carla E. Brodley and Peter Stone (Eds.). AAAI Press, 1112–1119
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Knowledge Graph Embedding via Dynamic Mapping Matrix. In Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) . Association for Computational Linguistics, Beijing, China, 687–696
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Tensorflow: A system for large-scale machine learning. In 12th { \{ USENIX } \} Symposium on Operating Systems Design and Implementation ( { \{ OSDI } \} 16) . 265–283
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Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering. In Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, December 5-10, 2016, Barcelona, Spain , Daniel D. Lee, Masashi Sugiyama, Ulrike von Luxburg, Isabelle Guyon, and Roman Garnett (Eds.). 3837–3845
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A collection of benchmark datasets for systematic evaluations of machine learning on the semantic web. In International Semantic Web Conference . Springer, 186–194
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Representation Learning of Knowledge Graphs with Entity Descriptions. In Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, February 12-17, 2016, Phoenix, Arizona, USA , Dale Schuurmans and Michael P. Wellman (Eds.). AAAI Press, 2659–2665
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Multilingual Knowledge Graph Embeddings for Cross-lingual Knowledge Alignment. In Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, IJCAI 2017, Melbourne, Australia, August 19-25, 2017 , Carles Sierra (Ed.). ijcai.org, 1511–1517
Muhao Chen, Yingtao Tian, Mohan Yang, and Carlo Zaniolo. 2017 · 2017
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Semi-Supervised Classification with Graph Convolutional Networks. In 5th International Conference on Learning Representations, ICLR 2017, Toulon, France, April 24-26, 2017, Conference Track Proceedings . OpenReview.net
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Encoding Sentences with Graph Convolutional Networks for Semantic Role Labeling. In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing . Association for Computational Linguistics, Copenhagen, Denmark, 1506–1515
Diego Marcheggiani and Ivan Titov. 2017 · 2017
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Automatic differentiation in pytorch
Adam Paszke, Sam Gross, Soumith Chintala, Gregory Chanan, Edward Yang, Zachary DeVito, Zeming Lin, Alban Desmaison, Luca Antiga, and Adam Lerer. 2017 · 2017
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Cross-lingual entity alignment via joint attribute-preserving embedding. In International Semantic Web Conference . Springer, 628–644
Zequn Sun, Wei Hu, and Chengkai Li. 2017 · 2017
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DeepGCNs: Can GCNs Go As Deep As CNNs?. In 2019 IEEE/CVF International Conference on Computer Vision, ICCV 2019, Seoul, Korea (South), October 27 - November 2, 2019 . IEEE, 9266–9275
Guohao Li, Matthias Müller, Ali K. Thabet, and Bernard Ghanem. 2019 · 2019
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Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics . Association for Computational Linguistics, Florence, Italy, 4710–4723
Deepak Nathani, Jatin Chauhan, Charu Sharma, and Manohar Kaul. 2019 · 2019
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End-to-End Structure-Aware Convolutional Networks for Knowledge Base Completion. In The Thirty-Third AAAI Conference on Artificial Intelligence, AAAI 2019, The Thirty-First Innovative Applications of Artificial Intelligence Conference, IAAI 2019, The Ninth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019, Honolulu, Hawaii, USA, January 27 - February 1, 2019 . AAAI Press, 3060–3067
Chao Shang, Yun Tang, Jing Huang, Jinbo Bi, Xiaodong He, and Bowen Zhou. 2019 · 2019
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Knowledge graph embedding: A survey of approaches and applications
Quan Wang, Zhendong Mao, Bin Wang, and Li Guo. 2017 · 2017
Cited alongside, same era.
Iterative Entity Alignment via Joint Knowledge Embeddings. In Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, IJCAI 2017, Melbourne, Australia, August 19-25, 2017 , Carles Sierra (Ed.). ijcai.org, 4258–4264
Hao Zhu, Ruobing Xie, Zhiyuan Liu, and Maosong Sun. 2017 · 2017
Cited alongside, same era.
Modeling relational data with graph convolutional networks. In European Semantic Web Conference . Springer, 593–607
Michael Schlichtkrull, Thomas N Kipf, Peter Bloem, Rianne Van Den Berg, Ivan Titov, and Max Welling. 2018 · 2018
Cited alongside, same era.
Bootstrapping Entity Alignment with Knowledge Graph Embedding. In Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, IJCAI 2018, July 13-19, 2018, Stockholm, Sweden , Jérôme Lang (Ed.). ijcai.org, 4396–4402
Zequn Sun, Wei Hu, Qingheng Zhang, and Yuzhong Qu. 2018 · 2018
Cited alongside, same era.
Structural Deep Embedding for Hyper-Networks. In Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, (AAAI-18), the 30th innovative Applications of Artificial Intelligence (IAAI-18), and the 8th AAAI Symposium on Educational Advances in Artificial Intelligence (EAAI-18), New Orleans, Louisiana, USA, February 2-7, 2018 , Sheila A. McIlraith and Kilian Q. Weinberger (Eds.). AAAI Press, 426–433
Ke Tu, Peng Cui, Xiao Wang, Fei Wang, and Wenwu Zhu. 2018 · 2018
Cited alongside, same era.
Graph Attention Networks. In 6th International Conference on Learning Representations, ICLR 2018, Vancouver, BC, Canada, April 30 - May 3, 2018, Conference Track Proceedings . OpenReview.net
Petar Velickovic, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Liò, and Yoshua Bengio. 2018 · 2018
Cited alongside, same era.
Dynamic graph cnn for learning on point clouds
Yue Wang, Yongbin Sun, Ziwei Liu, Sanjay E Sarma, Michael M Bronstein, and Justin M Solomon. 2018b · 2018
Cited alongside, same era.
Cross-lingual Knowledge Graph Alignment via Graph Convolutional Networks. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing . Association for Computational Linguistics, Brussels, Belgium, 349–357
Zhichun Wang, Qingsong Lv, Xiaohan Lan, and Yu Zhang. 2018a · 2018
Cited alongside, same era.
RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space. In 7th International Conference on Learning Representations, ICLR 2019, New Orleans, LA, USA, May 6-9, 2019 . OpenReview.net
Zhiqing Sun, Zhi-Hong Deng, Jian-Yun Nie, and Jian Tang. 2019a · 2019
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Knowledge graph alignment network with gated multi-hop neighborhood aggregation
Zequn Sun, Chengming Wang, Wei Hu, Muhao Chen, Jian Dai, Wei Zhang, and Yuzhong Qu. 2019b · 2019
Later among the works it cites.
Relation-Aware Entity Alignment for Heterogeneous Knowledge Graphs. In Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, IJCAI 2019, Macao, China, August 10-16, 2019 , Sarit Kraus (Ed.). ijcai.org, 5278–5284
Yuting Wu, Xiao Liu, Yansong Feng, Zheng Wang, Rui Yan, and Dongyan Zhao. 2019 · 2019
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Cross-lingual Knowledge Graph Alignment via Graph Matching Neural Network. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics . Association for Computational Linguistics, Florence, Italy, 3156–3161
Kun Xu, Liwei Wang, Mo Yu, Yansong Feng, Yan Song, Zhiguo Wang, and Dong Yu. 2019 · 2019
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A Vectorized Relational Graph Convolutional Network for Multi-Relational Network Alignment. In Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, IJCAI 2019, Macao, China, August 10-16, 2019 , Sarit Kraus (Ed.). ijcai.org, 4135–4141
Rui Ye, Xin Li, Yujie Fang, Hongyu Zang, and Mingzhong Wang. 2019 · 2019
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Graph-Revised Convolutional Network
Donghan Yu, Ruohong Zhang, Zhengbao Jiang, Yuexin Wu, and Yiming Yang. 2019 · 2019
Later among the works it cites.
Graph Transformer Networks. In Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, December 8-14, 2019, Vancouver, BC, Canada , Hanna M. Wallach, Hugo Larochelle, Alina Beygelzimer, Florence d’Alché-Buc, Emily B. Fox, and Roman Garnett (Eds.). 11960–11970
Seongjun Yun, Minbyul Jeong, Raehyun Kim, Jaewoo Kang, and Hyunwoo J. Kim. 2019 · 2019
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Heterogeneous Graph Neural Network. In Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, KDD 2019, Anchorage, AK, USA, August 4-8, 2019 , Ankur Teredesai, Vipin Kumar, Ying Li, Rómer Rosales, Evimaria Terzi, and George Karypis (Eds.). ACM, 793–803
Chuxu Zhang, Dongjin Song, Chao Huang, Ananthram Swami, and Nitesh V. Chawla. 2019a · 2019
Later among the works it cites.
Quaternion Knowledge Graph Embeddings. In Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, December 8-14, 2019, Vancouver, BC, Canada , Hanna M. Wallach, Hugo Larochelle, Alina Beygelzimer, Florence d’Alché-Buc, Emily B. Fox, and Roman Garnett (Eds.). 2731–2741
Shuai Zhang, Yi Tay, Lina Yao, and Qi Liu. 2019b · 2019
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Composition-based Multi-Relational Graph Convolutional Networks. In 8th International Conference on Learning Representations, ICLR 2020, Addis Ababa, Ethiopia, April 26-30, 2020 . OpenReview.net
Shikhar Vashishth, Soumya Sanyal, Vikram Nitin, and Partha P. Talukdar. 2020 · 2020
Closest in time.
Relational Graph Neural Network with Hierarchical Attention for Knowledge Graph Completion.. In AAAI . 9612–9619
Zhao Zhang, Fuzhen Zhuang, Hengshu Zhu, Zhi-Ping Shi, Hui Xiong, and Qing He. 2020 · 2020
Closest in time.
Heterogeneous Graph Attention Network. In The World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019 , Ling Liu, Ryen W. White, Amin Mantrach, Fabrizio Silvestri, Julian J. McAuley, Ricardo Baeza-Yates, and Leila Zia (Eds.). ACM, 2022–2032
Xiao Wang, Houye Ji, Chuan Shi, Bai Wang, Yanfang Ye, Peng Cui, and Philip S. Yu. 2019 · 2032
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Complex Embeddings for Simple Link Prediction. In Proceedings of the 33nd International Conference on Machine Learning, ICML 2016, New York City, NY, USA, June 19-24, 2016 (JMLR Workshop and Conference Proceedings, Vol. 48) , Maria-Florina Balcan and Kilian Q. Weinberger (Eds.). JMLR.org, 2071–2080
Théo Trouillon, Johannes Welbl, Sebastian Riedel, Éric Gaussier, and Guillaume Bouchard. 2016 · 2080
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