krl.bib

@article{Bengio2013RepresentationLA,
  title={Representation Learning: A Review and New Perspectives},
  author={Yoshua Bengio and Aaron C. Courville and Pascal Vincent},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
  year={2013},
  volume={35},
  pages={1798-1828}
}

@article{刘知远2016知识表示学习研究进展,
  title={知识表示学习研究进展},
  author={刘知远 and 孙茂松 and 林衍凯 and 谢若冰},
  journal={计算机研究与发展},
  volume={53},
  number={2},
  pages={247--261},
  year={2016}
}

@article{Nickel2016ARO,
  title={A Review of Relational Machine Learning for Knowledge Graphs},
  author={Maximilian Nickel and Kevin Murphy and Volker Tresp and Evgeniy Gabrilovich},
  journal={Proceedings of the IEEE},
  year={2016},
  volume={104},
  pages={11-33}
}

@article{Wang2017KnowledgeGE,
  title={Knowledge Graph Embedding: A Survey of Approaches and Applications},
  author={Quan Wang and Zhendong Mao and Bin Wang and Li Guo},
  journal={IEEE Transactions on Knowledge and Data Engineering},
  year={2017},
  volume={29},
  pages={2724-2743}
}

@inproceedings{nickel2011three,
  title={A Three-Way Model for Collective Learning on Multi-Relational Data.},
  author={Nickel, Maximilian and Tresp, Volker and Kriegel, Hans-Peter},
  booktitle={ICML},
  volume={11},
  pages={809--816},
  year={2011}
}

@inproceedings{bordes2011learning,
  title={Learning Structured Embeddings of Knowledge Bases.},
  author={Bordes, Antoine and Weston, Jason and Collobert, Ronan and Bengio, Yoshua and others},
  booktitle={AAAI},
  volume={6},
  number={1},
  pages={6},
  year={2011}
}

@inproceedings{jenatton2012latent,
  title={A latent factor model for highly multi-relational data},
  author={Jenatton, Rodolphe and Roux, Nicolas L and Bordes, Antoine and Obozinski, Guillaume R},
  booktitle={Advances in Neural Information Processing Systems},
  pages={3167--3175},
  year={2012}
}

@inproceedings{socher2013reasoning,
  title={Reasoning with neural tensor networks for knowledge base completion},
  author={Socher, Richard and Chen, Danqi and Manning, Christopher D and Ng, Andrew},
  booktitle={Advances in neural information processing systems},
  pages={926--934},
  year={2013}
}

@inproceedings{Bordes2013TranslatingEF,
  title={Translating Embeddings for Modeling Multi-relational Data},
  author={Antoine Bordes and Nicolas Usunier and Alberto Garc{\'i}a-Dur{\'a}n and Jason Weston and Oksana Yakhnenko},
  booktitle={NIPS},
  year={2013}
}

@inproceedings{wang2014knowledge,
  title={Knowledge Graph Embedding by Translating on Hyperplanes.},
  author={Wang, Zhen and Zhang, Jianwen and Feng, Jianlin and Chen, Zheng},
  booktitle={AAAI},
  volume={14},
  pages={1112--1119},
  year={2014}
}

@inproceedings{lin2015learning,
  title={Learning entity and relation embeddings for knowledge graph completion.},
  author={Lin, Yankai and Liu, Zhiyuan and Sun, Maosong and Liu, Yang and Zhu, Xuan},
  booktitle={AAAI},
  volume={15},
  pages={2181--2187},
  year={2015}
}

@inproceedings{Ji2015KnowledgeGE,
  title={Knowledge Graph Embedding via Dynamic Mapping Matrix},
  author={Guoliang Ji and Shizhu He and Liheng Xu and Kang Liu and Jun Zhao},
  booktitle={ACL},
  year={2015}
}

@article{Xiao2015TransAAA,
  title={TransA: An Adaptive Approach for Knowledge Graph Embedding},
  author={Han Xiao and Minlie Huang and Yu Hao and Xiaoyan Zhu},
  journal={CoRR},
  year={2015},
  volume={abs/1509.05490}
}

@inproceedings{he2015learning,
  title={Learning to represent knowledge graphs with gaussian embedding},
  author={He, Shizhu and Liu, Kang and Ji, Guoliang and Zhao, Jun},
  booktitle={Proceedings of the 24th ACM International on Conference on Information and Knowledge Management},
  pages={623--632},
  year={2015},
  organization={ACM}
}

@article{yang2015embedding,
  title={Embedding Entities and Relations for Learning and Inference in Knowledge Bases},
  author={Yang, Bishan and Yih, Scott Wen-tau and He, Xiaodong and Gao, Jianfeng and Deng, Li},
  year={2015}
}

@article{lin2015modeling,
  title={Modeling relation paths for representation learning of knowledge bases},
  author={Lin, Yankai and Liu, Zhiyuan and Luan, Huanbo and Sun, Maosong and Rao, Siwei and Liu, Song},
  journal={arXiv preprint arXiv:1506.00379},
  year={2015}
}

@inproceedings{GarcaDurn2015ComposingRW,
  title={Composing Relationships with Translations},
  author={Alberto Garc{\'i}a-Dur{\'a}n and Antoine Bordes and Nicolas Usunier},
  booktitle={EMNLP},
  year={2015}
}

@inproceedings{Xiao2016FromOP,
  title={From One Point to a Manifold: Knowledge Graph Embedding for Precise Link Prediction},
  author={Han Xiao and Minlie Huang and Xiaoyan Zhu},
  booktitle={IJCAI},
  year={2016}
}

@inproceedings{xiao2016transg,
  title={TransG: A generative model for knowledge graph embedding},
  author={Xiao, Han and Huang, Minlie and Zhu, Xiaoyan},
  booktitle={Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
  volume={1},
  pages={2316--2325},
  year={2016}
}

@inproceedings{trouillon2016complex,
	author = {Trouillon, Th\'eo and Welbl, Johannes and Riedel, Sebastian and Gaussier, \'Eric and Bouchard, Guillaume},
	booktitle = {International Conference on Machine Learning (ICML)},
	title = {{Complex embeddings for simple link prediction}},
	volume={48},
	pages={2071--2080},
	year = {2016}
}

@article{trouillon2017knowledge,
	title={Knowledge graph completion via complex tensor factorization},
	author={Trouillon, Th{\'e}o and Dance, Christopher R and Gaussier, {\'E}ric and Welbl, Johannes and Riedel, Sebastian and Bouchard, Guillaume},
	journal={Journal of Machine Learning Research (JMLR)},
	volume={18},
	number={130},
	pages={1--38},
	year={2017}
}

@inproceedings{nickel2016holographic,
  title={Holographic Embeddings of Knowledge Graphs.},
  author={Nickel, Maximilian and Rosasco, Lorenzo and Poggio, Tomaso A and others},
  booktitle={AAAI},
  pages={1955--1961},
  year={2016}
}

@inproceedings{ji2016knowledge,
  title={Knowledge Graph Completion with Adaptive Sparse Transfer Matrix.},
  author={Ji, Guoliang and Liu, Kang and He, Shizhu and Zhao, Jun},
  booktitle={AAAI},
  pages={985--991},
  year={2016}
}

@inproceedings{Xie2016RepresentationLO,
  title={Representation Learning of Knowledge Graphs with Hierarchical Types},
  author={Ruobing Xie and Zhiyuan Liu and Maosong Sun},
  booktitle={IJCAI},
  year={2016}
}

@inproceedings{Nguyen2016STransEAN,
  title={STransE: a novel embedding model of entities and relationships in knowledge bases},
  author={Dat Quoc Nguyen and Kairit Sirts and Lizhen Qu and Mark Johnson},
  booktitle={HLT-NAACL},
  year={2016}
}

@inproceedings{Feng2016GAKEGA,
  title={GAKE: Graph Aware Knowledge Embedding},
  author={Jun Feng and Minlie Huang and Yang Yang and Xiaoyan Zhu},
  booktitle={COLING},
  year={2016}
}

@inproceedings{Xie2016RepresentationLO,
  title={Representation Learning of Knowledge Graphs with Entity Descriptions},
  author={Ruobing Xie and Zhiyuan Liu and Jia Jia and Huanbo Luan and Maosong Sun},
  booktitle={AAAI},
  year={2016}
}

@inproceedings{Wang2016LearningFL,
  title={Learning First-Order Logic Embeddings via Matrix Factorization},
  author={William Yang Wang and William W. Cohen},
  booktitle={IJCAI},
  year={2016}
}

@inproceedings{xiao2017ssp,
  title={SSP: Semantic Space Projection for Knowledge Graph Embedding with Text Descriptions.},
  author={Xiao, Han and Huang, Minlie and Meng, Lian and Zhu, Xiaoyan},
  booktitle={AAAI},
  volume={17},
  pages={3104--3110},
  year={2017}
}

@inproceedings{shi2017proje,
  title={ProjE: Embedding Projection for Knowledge Graph Completion.},
  author={Shi, Baoxu and Weninger, Tim},
  booktitle={AAAI},
  volume={17},
  pages={1236--1242},
  year={2017}
}

@inproceedings{Liu2017AnalogicalIF,
  title={Analogical Inference for Multi-relational Embeddings},
  author={Hanxiao Liu and Yuexin Wu and Yiming Yang},
  booktitle={ICML},
  year={2017}
}

@inproceedings{Xie2017ImageembodiedKR,
  title={Image-embodied Knowledge Representation Learning},
  author={Ruobing Xie and Zhiyuan Liu and Tat-Seng Chua and Huan-Bo Luan and Maosong Sun},
  booktitle={IJCAI},
  year={2017}
}

@inproceedings{Zhu2017IterativeEA,
  title={Iterative Entity Alignment via Joint Knowledge Embeddings},
  author={Hao Zhu and Ruobing Xie and Zhiyuan Liu and Maosong Sun},
  booktitle={IJCAI},
  year={2017}
}

@inproceedings{Hayashi2017OnTE,
  title={On the Equivalence of Holographic and Complex Embeddings for Link Prediction},
  author={Katsuhiko Hayashi and Masashi Shimbo},
  booktitle={ACL},
  year={2017}
}

@article{cai2017kbgan,
  title={KBGAN: Adversarial Learning for Knowledge Graph Embeddings},
  author={Cai, Liwei and Wang, William Yang},
  journal={arXiv preprint arXiv:1711.04071},
  year={2017}
}

@inproceedings{guo2018:RUGE,
title = {Knowledge Graph Embedding with Iterative Guidance from Soft Rules},
author = {Shu Guo and Quan Wang and Lihong Wang and Bin Wang and Li Guo},
booktitle = {Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence},
year = {2018}
}

@inproceedings{DBLP:conf/wsdm/ZhangPZBC19,
  author    = {Wen Zhang and
               Bibek Paudel and
               Wei Zhang and
               Abraham Bernstein and
               Huajun Chen},
  title     = {Interaction Embeddings for Prediction and Explanation in Knowledge
               Graphs},
  booktitle = {Proceedings of the Twelfth {ACM} International Conference on Web Search
               and Data Mining, {WSDM} 2019, Melbourne, VIC, Australia, February
               11-15, 2019},
  pages     = {96--104},
  year      = {2019},
  crossref  = {DBLP:conf/wsdm/2019},
  url       = {https://doi.org/10.1145/3289600.3291014},
  doi       = {10.1145/3289600.3291014},
  timestamp = {Fri, 01 Feb 2019 08:07:59 +0100},
  biburl    = {https://dblp.org/rec/bib/conf/wsdm/ZhangPZBC19},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{schlichtkrull2018modeling,
  title={Modeling relational data with graph convolutional networks},
  author={Schlichtkrull, Michael and Kipf, Thomas N and Bloem, Peter and Van Den Berg, Rianne and Titov, Ivan and Welling, Max},
  booktitle={European Semantic Web Conference},
  pages={593--607},
  year={2018},
  organization={Springer}
}