Some papers on Knowledge Graph Embedding(KGE)

• Yoshua Bengio, Aaron C. Courville, Pascal Vincent. "Representation Learning: A Review and New Perspectives". IEEE Transactions on Pattern Analysis and Machine Intelligence 2013. paper

• Maximilian Nickel, Kevin Murphy, Volker Tresp, Evgeniy Gabrilovich. "A Review of Relational Machine Learning for Knowledge Graphs". Proceedings of the IEEE 2016. paper

• Quan Wang, Zhendong Mao, Bin Wang, Li Guo. "Knowledge Graph Embedding: A Survey of Approaches and Applications". IEEE Transactions on Knowledge and Data Engineering 2017. paper

• HongYun Cai, Vincent W. Zheng, Kevin Chen-Chuan Chang. "A Comprehensive Survey of Graph Embedding: Problems, Techniques, and Applications". IEEE Transactions on Knowledge and Data Engineering 2018. paper

• Xiaojun Chen, Shengbin Jia, Yang Xiang. "A review: Knowledge reasoning over knowledge graph". Expert Systems with Applications 2020. paper

• (ComplEx) Théo Trouillon, Christopher R. Dance, Éric Gaussier, Johannes Welbl, Sebastian Riedel, Guillaume Bouchard. "Knowledge Graph Completion via Complex Tensor Factorization". Journal of Machine Learning Research 2017. paper code

• (LPMR) Caiyan Dai, Ling Chen, Bin Li, Yun Li. "Link prediction in multi-relational networks based on relational similarity". Information Sciences 2017. paper

• Lidong Bing, Zhiming Zhang, Wai Lam, William W. Cohen. "Towards a language-independent solution: Knowledge base completion by searching the Web and deriving language pattern". Knowledge-based Systems 2017. paper

• (TransPES) Yu Wu, Tingting Mu, John Yannis Goulermas. "Translating on pairwise entity space for knowledge graph embedding". Neurocomputing 2017. paper code

• (SSE) Shu Guo, Quan Wang, Bin Wang, Lihong Wang, Li Guo. "SSE: Semantically Smooth Embedding for Knowledge Graphs". IEEE Transactions on Knowledge and Data Engineering 2017. paper

• (TRANSFER) Xiaochi Wei, Heyan Huang, Liqiang Nie, Hanwang Zhang, Xianling Mao, Tat-Seng Chua. "I Know What You Want to Express: Sentence Element Inference by Incorporating External Knowledge Base". IEEE Transactions on Knowledge and Data Engineering 2017. paper code

• (PaSKoGE) Yantao Jia, Yuanzhuo Wang, Xiaolong Jin, Xueqi Cheng. "Path-specific knowledge graph embedding". Knowledge-based Systems 2018. paper

• Lirong He, Bin Liu, Guangxi Li, Yongpan Sheng, Yafang Wang, Zenglin Xu. "Knowledge Base Completion by Variational Bayesian Neural Tensor Decomposition". Cognitive Computation 2018. paper

• (TKGE) Binling Nie, Shouqian Sun. "Knowledge graph embedding via reasoning over entities, relations, and text". Future Generation Computer Systems 2019. paper

• Chengchun Shi, Wenbin Lu, Rui Song. "Determining the Number of Latent Factors in Statistical Multi-Relational Learning". Journal of Machine Learning Research 2019. paper

• (KEC) Niannian Guan, Dandan Song, Lejian Liao. "Knowledge graph embedding with concepts". Knowledge-based Systems 2019. paper

• (ProjFE) Huajing Liu, Luyi Bai, Xiangnan Ma, Wenting Yu, Changming Xu. "ProjFE: Prediction of fuzzy entity and relation for knowledge graph completion". Applied Soft Computing 2019. paper

• (RPE) Xixun Lin, Yanchun Liang, Fausto Giunchiglia, Xiaoyue Feng, Renchu Guan. "Relation path embedding in knowledge graphs". Neural Computing and Applications 2019. paper

• Qiannan Zhu, Xiaofei Zhou, Peng Zhang, Yong Shi. ""A neural translating general hyperplane for knowledge graph embedding". Journal of Computational Science 2019. paper

• Ankur Padia, Konstantinos Kalpakis, Francis Ferraro, Tim Finin. "Knowledge Graph Fact Prediction via Knowledge-Enriched Tensor Factorization". Journal of Web Semantics 2019. paper code

• (AWML) Chenchen Guo, Chunhong Zhang, Xiao Han, Yang Ji. "AWML: adaptive weighted margin learning for knowledge graph embedding". Journal of Intelligent Information Systems 2019. paper

• (RESCAL) Nickel Maximilian, Tresp Volker, Kriegel Hans-Peter. "A Three-Way Model for Collective Learning on Multi-Relational Data". ICML 2011. paper code

• (SE) Antoine Bordes, Jason Weston, Ronan Collobert, Yoshua Bengio. "Learning Structured Embeddings of Knowledge Bases". AAAI 2011. paper

• (LFM) Rodolphe Jenatton, Nicolas L. Roux, Antoine Bordes, Guillaume R. Obozinski. "A Latent Factor Model for Highly Multi-relational Data". NIPS 2012. paper

• (SLM/NTN) Richard Socher, Danqi Chen, Christopher D. Manning, Andrew Y. Ng. "Reasoning With Neural Tensor Networks for Knowledge Base Completion". NIPS 2013. paper reviews

• (TransE) Antoine Bordes, Nicolas Usunier, Alberto Garcia-Duran, Jason Weston, Oksana Yakhnenko. "Translating Embeddings for Modeling Multi-relational Data". NIPS 2013. paper reviews

• (TransH) Zhen Wang, Jianwen Zhang, Jianlin Feng, Zheng Chen. "Knowledge Graph Embedding by Translating on Hyperplanes". AAAI 2014. paper

• (ER-MLP) Xin Dong, Evgeniy Gabrilovich, Geremy Heitz, Wilko Horn, Ni Lao, Kevin Murphy, Thomas Strohmann, Shaohua Sun, Wei Zhang. "Knowledge vault: a web-scale approach to probabilistic knowledge fusion". KDD 2014. paper

• (pTransE) Zhen Wang, Jianwen Zhang, Jianlin Feng, Zheng Chen. "Knowledge Graph and Text Jointly Embedding". EMNLP 2014. paper

• (DistMult) Bishan Yang, Wen-tau Yih, Xiaodong He, Jianfeng Gao, Li Deng. "Embedding Entities and Relations for Learning and Inference in Knowledge Bases". ICLR 2015. paper

• (TransR/CTransR) Yankai Lin, Zhiyuan Liu, Maosong Sun, Yang Liu, Xuan Zhu. "Learning Entity and Relation Embeddings for Knowledge Graph Completion". AAAI 2015. paper code

• Quan Wang, Bin Wang, Li Guo. "Knowledge Base Completion Using Embeddings and Rules". IJCAI 2015. paper

• (SSE) Shu Guo, Quan Wang, Bin Wang, Lihong Wang, Li Guo. "Semantically Smooth Knowledge Graph Embedding". ACL 2015. paper

• (TransD) Guoliang Ji, Shizhu He, Liheng Xu, Kang Liu, Jun Zhao. "Knowledge Graph Embedding via Dynamic Mapping Matrix". ACL 2015. paper

• (AMDC) Hiroshi Kajino, Akihiro Kishimoto, Adi Botea, Elizabeth M. Daly, Spyros Kotoulas. "Active Learning for Multi-relational Data Construction". WWW 2015. paper

• (PTransE) Yankai Lin, Zhiyuan Liu, Huanbo Luan, Maosong Sun, Siwei Rao, Song Liu. "Modeling Relation Paths for Representation Learning of Knowledge Bases". EMNLP 2015. paper code

• Yuanfei Luo, Quan Wang, Bin Wang, Li Guo. "Context-Dependent Knowledge Graph Embedding". EMNLP 2015. paper

• (RTransE) Alberto Garcia-Duran, Antoine Bordes, Nicolas Usunier. "Composing Relationships with Translations". EMNLP 2015. paper

• (Jointly) Huaping Zhong, Jianwen Zhang, Zhen Wang, Hai Wan, Zheng Chen. "Aligning Knowledge and Text Embeddings by Entity Descriptions". EMNLP 2015. paper

• (TransE-comp) Kelvin Guu, John Miller, Percy Liang. "Traversing Knowledge Graphs in Vector Space". EMNLP 2015. paper code

• Zhuoyu Wei, Jun Zhao, Kang Liu, Zhenyu Qi, Zhengya Sun, Guanhua Tian. "Large-scale Knowledge Base Completion: Inferring via Grounding Network Sampling over Selected Instances". CIKM 2015. paper

• (KG2E) Shizhu He, Kang Liu, Guoliang Ji, Jun Zhao. "Learning to Represent Knowledge Graphs with Gaussian Embedding". CIKM 2015. paper

• (Gaifman) Mathias Niepert. "Discriminative Gaifman Models". NIPS 2016. paper reviews

• (ComplEx) Théo Trouillon, Johannes Welbl, Sebastian Riedel, Éric Gaussier, Guillaume Bouchard. "Complex Embeddings for Simple Link Prediction". ICML 2016. paper supp code

• (TransA) Yantao Jia, Yuanzhuo Wang, Hailun Lin, Xiaolong Jin, Xueqi Cheng. "Locally Adaptive Translation for Knowledge Graph Embedding". AAAI 2016. paper

• (HolE) Maximilian Nickel, Lorenzo Rosasco, Tomaso Poggio. "Holographic Embeddings of Knowledge Graphs". AAAI 2016. paper code

• (TranSparse) Guoliang Ji, Kang Liu, Shizhu He, Jun Zhao. "Knowledge Graph Completion with Adaptive Sparse Transfer Matrix". AAAI 2016. paper

• (DKRL) Ruobing Xie, Zhiyuan Liu, Jia Jia, Huanbo Luan, Maosong Sun. "Representation Learning of Knowledge Graphs with Entity Descriptions". AAAI 2016. paper code

• (ManifoldE) Han Xiao, Minlie Huang, Xiaoyan Zhu. "From One Point to a Manifold: Knowledge Graph Embedding for Precise Link Prediction". IJCAI 2016. paper code

• (KR-EAR) Yankai Lin, Zhiyuan Liu, Maosong Sun. "Knowledge Representation Learning with Entities, Attributes and Relations". IJCAI 2016. paper code

• (TEKE) Zhigang Wang, Juanzi Li. "Text-Enhanced Representation Learning for Knowledge Graph". IJCAI 2016. paper

• (TKRL) Ruobing Xie, Zhiyuan Liu, Maosong Sun. "Representation Learning of Knowledge Graphs with Hierarchical Types". IJCAI 2016. paper code

• (ProPPR) William Yang Wang, William W. Cohen. "Learning First-Order Logic Embeddings via Matrix Factorization". IJCAI 2016. paper code

• Teng Long, Ryan Lowe, Jackie Chi Kit Cheung, Doina Precup. "Leveraging Lexical Resources for Learning Entity Embeddings in Multi-Relational Data". ACL 2016. paper

• (TransG) Han Xiao, Minlie Huang, Xiaoyan Zhu. "TransG: A Generative Model for Knowledge Graph Embedding". ACL 2016. paper code

• (KALE) Shu Guo, Quan Wang, Lihong Wang, Bin Wang, Li Guo."Jointly Embedding Knowledge Graphs and Logical Rules". EMNLP 2016. paper code

• (GAKE) Jun Feng, Minlie Huang, Yang Yang, Xiaoyan Zhu. "GAKE: Graph Aware Knowledge Embedding". COLING 2016. paper code

• Tingsong Jiang, Tianyu Liu, Tao Ge, Lei Sha, Baobao Chang, Sujian Li, Zhifang Sui. "Towards Time-Aware Knowledge Graph Completion". COLING 2016. paper

• (FTransE) Jun Feng, Minlie Huang, Mingdong Wang, Mantong Zhou, Yu Hao, Xiaoyan Zhu. "Knowledge Graph Embedding by Flexible Translation". KR 2016. paper code

• Hee-Geun Yoon, Hyun-Je Song, Seong-Bae Park, Se-Young Park. "A Translation-Based Knowledge Graph Embedding Preserving Logical Property of Relations". HLT-NAACL 2016. paper

• (STransE) Dat Quoc Nguyen, Kairit Sirts, Lizhen Qu, Mark Johnson. "STransE: A Novel Embedding Model of Entities and Relationships in Knowledge Bases". NAACL-HLT 2016. paper code

• (Neural LP) Fan Yang, Zhilin Yang, William W. Cohen. "Differentiable Learning of Logical Rules for Knowledge Base Reasoning". NIPS 2017. paper reviews code

• (ANALOGY) Hanxiao Liu, Yuexin Wu, Yiming Yang. "Analogical Inference for Multi-relational Embeddings". ICML 2017. paper code

• (SSP) Han Xiao, Minlie Huang, Lian Meng, Xiaoyan Zhu. "SSP: Semantic Space Projection for Knowledge Graph Embedding with Text Descriptions". AAAI 2017. paper code

• (ProjE) Baoxu Shi, Tim Weninger. "ProjE: Embedding Projection for Knowledge Graph Completion". AAAI 2017. paper code

• (puTransE) Yi Tay, Luu Anh Tuan, Siu Cheung Hui. "Non-Parametric Estimation of Multiple Embeddings for Link Prediction on Dynamic Knowledge Graphs". AAAI 2017. paper

• (Jointly) Jiacheng Xu, Xipeng Qiu, Kan Chen, Xuanjing Huang. "Knowledge Graph Representation with Jointly Structural and Textual Encoding". IJCAI 2017. paper code (Structure,Text,LSTM,Gate Mechanism,Attention Mechanism)

• (IKRL) Ruobing Xie, Zhiyuan Liu, Huanbo Luan, Maosong Sun. "Image-embodied Knowledge Representation Learning". IJCAI 2017. paper code

• (FRN) Alexandros Komninos, Suresh Manandhar. "Feature-Rich Networks for Knowledge Base Completion". ACL 2017. paper

• (ITransF) Qizhe Xie, Xuezhe Ma, Zihang Dai, Eduard Hovy. "An Interpretable Knowledge Transfer Model for Knowledge Base Completion". ACL 2017. paper

• Jay Pujara, Eriq Augustine, Lise Getoor. "Sparsity and Noise:Where Knowledge Graph Embeddings Fall Short". EMNLP 2017. paper code

• (ETE) Changsung Moon, Paul Jones, Nagiza F. Samatova. "Learning Entity Type Embeddings for Knowledge Graph Completion". CIKM 2017. paper

• Soumajit Pal, Jacopo Urbani. "Enhancing Knowledge Graph Completion By Embedding Correlations". CIKM 2017. paper code

• (TCE) Jun Shi, Huan Gao, Guilin Qi, Zhangquan Zhou. "Knowledge Graph Embedding with Triple Context". CIKM 2017. paper code

• (+RS) Xiaofei Zhou, Qiannan Zhu, Ping Liu, Li Guo. "Learning Knowledge Embeddings by Combining Limit-based Scoring Loss". CIKM 2017. paper

• (CombinE) Zhen Tan, Xiang Zhao, Wei Wang. "Representation Learning of Large-Scale Knowledge Graphs via Entity Feature Combinations". CIKM 2017. paper

• (RSTE) Yi Tay, Anh Tuan Luu, Siu Cheung Hui, Falk Brauer. "Random Semantic Tensor Ensemble for Scalable Knowledge Graph Link Prediction". WSDM 2017. paper

• (SimplE) Seyed Mehran Kazemi, David Poole. "SimplE Embedding for Link Prediction in Knowledge Graphs". NeurIPS 2018. paper reviews code

• (GQE) William L. Hamilton, Payal Bajaj, Marinka Zitnik, Dan Jurafsky, Jure Leskovec. "Embedding Logical Queries on Knowledge Graphs". NeurIPS 2018. paper reviews code

• Timothée Lacroix, Nicolas Usunier, Guillaume Obozinski. "Canonical Tensor Decomposition for Knowledge Base Completion". ICML 2018. paper supp code

• (MINERVA) Rajarshi Das, Shehzaad Dhuliawala, Manzil Zaheer, Luke Vilnis, Ishan Durugkar, Akshay Krishnamurthy, Alex Smola, Andrew McCallum. "Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning". ICLR 2018 paper reviews code

• Yanjie Wang, Rainer Gemulla, Hui Li. "On Multi-Relational Link Prediction with Bilinear Models". AAAI 2018. paper code

• Hitoshi Manabe, Katsuhiko Hayashi, Masashi Shimbo. "Data-Dependent Learning of Symmetric/Antisymmetric Relations for Knowledge Base Completion". AAAI 2018. paper code

• (ConvE) Tim Dettmers, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel. "Convolutional 2D Knowledge Graph Embeddings". AAAI 2018. paper code

• (TorusE) Takuma Ebisu, Ryutaro Ichise. "TorusE: Knowledge Graph Embedding on a Lie Group". AAAI 2018. paper code

• (RUGE) Shu Guo, Quan Wang, Lihong Wang, Bin Wang, Li Guo. "Knowledge Graph Embedding With Iterative Guidance From Soft Rules". AAAI 2018. paper code

• (ConMask) Baoxu Shi, Tim Weninger. "Open-World Knowledge Graph Completion". AAAI 2018. paper code

• Peifeng Wang, Shuangyin Li, Rong Pan. "Incorporating GAN for Negative Sampling in Knowledge Representation Learning". AAAI 2018. paper

• (CKRL) Ruobing Xie, Zhiyuan Liu, Fen Lin, Leyu Lin. "Does William Shakespeare REALLY Write Hamlet? Knowledge Representation Learning With Confidence". AAAI 2018. paper code

• Richong Zhang, Fanshuang Kong, Chenyue Wang, Yongyi Mao. "Embedding of Hierarchically Typed Knowledge Bases". AAAI 2018. paper code

• (JointNRE) Xu Han, Zhiyuan Liu, Maosong Sun. "Neural Knowledge Acquisition via Mutual Attention Between Knowledge Graph and Text". AAAI 2018. paper code

• (TransAt) Wei Qian, Cong Fu, Yu Zhu, Deng Cai, Xiaofei He. "Translating Embeddings for Knowledge Graph Completion with Relation Attention Mechanism". IJCAI 2018. paper code

• Ryo Takahashi, Ran Tian, Kentaro Inui. "Interpretable and Compositional Relation Learning by Joint Training with an Autoencoder". ACL 2018. paper code

• (KG-Geometry) Chandrahas, Aditya Sharma, Partha Talukdar. "Towards Understanding the Geometry of Knowledge Graph Embeddings". ACL 2018. paper code

• (ComplEx-NNE+AER) Boyang Ding, Quan Wang, Bin Wang, Li Guo. "Improving Knowledge Graph Embedding Using Simple Constraints". ACL 2018. paper code

• (HRS) Zhao Zhang, Fuzhen Zhuang, Meng Qu, Fen Lin, Qing He. "Knowledge Graph Embedding with Hierarchical Relation Structure". EMNLP 2018. paper

• (MultiHopKG) Xi Victoria Lin, Richard Socher, Caiming Xiong. "Multi-Hop Knowledge Graph Reasoning with Reward Shaping". EMNLP 2018. paper code

• Alberto Garcia-Duran, Sebastijan Dumančić, Mathias Niepert. "Learning Sequence Encoders for Temporal Knowledge Graph Completion". EMNLP 2018. paper dataset

• (HyTE) Shib Sankar Dasgupta, Swayambhu Nath Ray, Partha Talukdar. "HyTE: Hyperplane-based Temporally aware Knowledge Graph Embedding". EMNLP 2018. paper code

• (TransC) Xin Lv, Lei Hou, Juanzi Li, Zhiyuan Liu. "Differentiating Concepts and Instances for Knowledge Graph Embedding". EMNLP 2018. paper code

• (MKBE) Pouya Pezeshkpour, Liyan Chen, Sameer Singh. "Embedding Multimodal Relational Data for Knowledge Base Completion". EMNLP 2018. paper code

• (GMatching) Wenhan Xiong, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang. "One-Shot Relational Learning for Knowledge Graphs". EMNLP 2018. paper code

• Víctor Gutiérrez-Basulto, Steven Schockaert. "From Knowledge Graph Embedding to Ontology Embedding? An Analysis of the Compatibility between Vector Space Representations and Rules". KR 2018. paper

• (KB_LRN) Alberto García-Durán, Mathias Niepert. "KBlrn: End-to-End Learning of Knowledge Base Representations with Latent, Relational, and Numerical Features". UAI 2018. paper

• Farahnaz Akrami, Lingbing Guo, Wei Hu, Chengkai Li. "Re-evaluating Embedding-Based Knowledge Graph Completion Methods". CIKM 2018. paper

• (SENN) Saiping Guan, Xiaolong Jin, Yuanzhuo Wang, Xueqi Cheng. "Shared Embedding Based Neural Networks for Knowledge Graph Completion". CIKM 2018. paper

• (MultiE) Zhao Zhang, Fuzhen Zhuang, Zheng-Yu Niu, Deqing Wang, Qing He. "MultiE: Multi-Task Embedding for Knowledge Base Completion". CIKM 2018. paper

• (CACL) Byungkook Oh, Seungmin Seo, Kyong-Ho. "Knowledge Graph Completion by Context-Aware Convolutional Learning with Multi-Hop Neighborhoods". CIKM 2018. paper

• (R-GCN) Michael Schlichtkrull, Thomas N. Kipf, Peter Bloem, Rianne van den Berg, Ivan Titov, Max Welling. "Modeling Relational Data with Graph Convolutional Networks". ESWC 2018. paper code

• (ConvKB) Dai Quoc Nguyen, Tu Dinh Nguyen, Dat Quoc Nguyen, Dinh Phung. "A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural Network". NAACL-HLT 2018. paper code

• (KBGAN) Liwei Cai, William Yang Wang. "KBGAN: Adversarial Learning for Knowledge Graph Embeddings". NAACL-HLT 2018. paper code

• Bo An, Bo Chen, Xianpei Han, Le Sun. "Accurate Text-Enhanced Knowledge Graph Representation Learning". NAACL-HLT 2018. paper

• (QuatE) Shuai Zhangy, Yi Tay, Lina Yao, Qi Liu. "Quaternion Knowledge Graph Embeddings". NeurIPS 2019. paper code

• (MuRP) Ivana Balaževic, Carl Allen, Timothy Hospedales. "Multi-relational Poincaré Graph Embeddings". NeurIPS 2019. paper code

• (RSN) Lingbing Guo, Zequn Sun, Wei Hu. "Learning to Exploit Long-term Relational Dependencies in Knowledge Graphs". ICML 2019. paper supp code

• (RotatE) Zhiqing Sun, Zhi-Hong Deng, Jian-Yun Nie, Jian Tang. "RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space". ICLR 2019. paper reviews code

• (TransGate) Jun Yuan, Neng Gao, Ji Xiang. "TransGate: Knowledge Graph Embedding with Shared Gate Structure". AAAI 2019. paper

• (UKGE) Xuelu Chen, Muhao Chen, Weijia Shi, Yizhou Sun, Carlo Zaniolo. "Embedding Uncertain Knowledge Graphs". AAAI 2019. paper code

• (SimplE+) Bahare Fatemi, Siamak Ravanbakhsh, David Poole. "Improved Knowledge Graph Embedding Using Background Taxonomic Information". AAAI 2019. paper

• (LENA) Fanshuang Kong, Richong Zhang, Yongyi Mao, Ting Deng. "LENA: Locality-Expanded Neural Embedding for Knowledge Base Completion". AAAI 2019. paper code

• (LAN) PeiFeng Wang, Jialong Han, Chenliang Li, Rong Pan. "Logic Attention Based Neighborhood Aggregation for Inductive Knowledge Graph Embedding". AAAI 2019. paper code

• (SACN) Chao Shang, Yun Tang, Jing Huang, Jinbo Bi, Xiaodong He, Bowen Zhou. "End-to-End Structure-Aware Convolutional Networks for Knowledge Base Completion". AAAI 2019. paper code

• (OWE) Haseeb Shah, Johannes Villmow, Adrian Ulges, Ulrich Schwanecke, Faisal Shafait. "An Open-World Extension to Knowledge Graph Completion Models". AAAI 2019. paper code

• (AnyBURL) Christian Meilicke, Melisachew Wudage Chekol, Daniel Ruffinelli, Heiner Stuckenschmidt. "Anytime Bottom-Up Rule Learning for Knowledge Graph Completion". IJCAI 2019. paper code

• Hengtong Zhang, Tianhang Zheng, Jing Gao, Chenglin Miao, Lu Su, Yaliang Li, Kui Ren. "Data Poisoning Attack against Knowledge Graph Embedding". IJCAI 2019. paper

• (TransMS) Shihui Yang, Jidong Tian, Honglun Zhang, Junchi Yan, Hao He, Yaohui Jin. "TransMS: Knowledge Graph Embedding for Complex Relations by Multidirectional Semantics". IJCAI 2019. paper

• Neil Veira, Brian Keng, Kanchana Padmanabhan, Andreas G. Veneris. "Unsupervised Embedding Enhancements of Knowledge Graphs using Textual Associations". IJCAI 2019. paper code

• (M-GNN) Zihan Wang, Zhaochun Ren, Chunyu He, Peng Zhang, Yue Hu. "Robust Embedding with Multi-Level Structures for Link Prediction". IJCAI 2019. paper

• Deepak Nathani, Jatin Chauhan, Charu Sharma, Manohar Kaul. "Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs". ACL 2019. paper code

• (DihEdral) Canran Xu, Ruijiang Li. "Relation Embedding with Dihedral Group in Knowledge Graph". ACL 2019. paper

• (JOIE) Junheng Hao, Muhao Chen, Wenchao Yu, Yizhou Sun, Wei Wang. "Universal Representation Learning of Knowledge Bases by Jointly Embedding Instances and Ontological Concepts". KDD 2019. paper code

• (NSCaching) Yongqi Zhang, Quanming Yao, Yingxia Shao, Lei Chen. "NSCaching: Simple and Efficient Negative Sampling for Knowledge Graph Embedding". ICDE 2019. paper code

• (NaLP) Saiping Guan, Xiaolong Jin, Yuanzhuo Wang, Xueqi Cheng. "Link Prediction on N-ary Relational Data". WWW 2019. paper code

• (ActiveLink) Natalia Ostapuk, Jie Yang, Philippe Cudré-Mauroux. "ActiveLink: Deep Active Learning for Link Prediction in Knowledge Graphs". WWW 2019. paper code

• (IterE) Wen Zhang, Bibek Paudel, Liang Wang, Jiaoyan Chen, Hai Zhu, Wei Zhang, Abraham Bernstein, Huajun Chen. "Iteratively Learning Embeddings and Rules for Knowledge Graph Reasoning". WWW 2019. paper code

• (CaRe) Swapnil Gupta, Sreyash Kenkre, Partha Talukdar. "CaRe: Open Knowledge Graph Embeddings". EMNLP 2019. paper code

• (MetaR) Mingyang Chen, Wen Zhang, Wei Zhang, Qiang Chen and Huajun Chen. "Meta Relational Learning for Few-Shot Link Prediction in Knowledge Graphs". EMNLP 2019. paper code

• (OPTransE) Yao Zhu, Hongzhi Liu, Zhonghai Wu, Yang Song and Tao Zhang. "Representation Learning with Ordered Relation Paths for Knowledge Graph Completion". EMNLP 2019. paper

• Zihao Wang, Kwunping Lai, Piji Li, Lidong Bing and Wai Lam. "Tackling Long-Tailed Relations and Uncommon Entities in Knowledge Graph Completion". EMNLP 2019. paper

• (TuckER) Ivana Balazevic, Carl Allen, Timothy M. Hospedales. "TuckER: Tensor Factorization for Knowledge Graph Completion". EMNLP 2019. paper code

• Esma Balkir, Masha Naslidnyk, Dave Palfrey and Arpit Mittal. "Using Pairwise Occurrence Information to Improve Knowledge Graph Completion on Large-Scale Datasets". EMNLP 2019. paper

• Robert Bamler, Farnood Salehi, Stephan Mandt. "Augmenting and Tuning Knowledge Graph Embeddings". UAI 2019. paper code

• (CrossE) Wen Zhang, Bibek Paudel, Wei Zhang, Abraham Bernstein, Huajun Chen. "Interaction Embeddings for Prediction and Explanation in Knowledge Graphs". WSDM 2019. paper code

• (CRIAGE) Pouya Pezeshkpour, Yifan Tian, Sameer Singh。 “Investigating Robustness and Interpretability of Link Prediction via Adversarial Modifications”. NAACL-HLT 2019. paper code

• (CapsE) Dai Quoc Nguyen, Thanh Vu, Tu Dinh Nguyen, Dat Quoc Nguyen, Dinh Q. Phung. "A Capsule Network-based Embedding Model for Knowledge Graph Completion and Search Personalization". NAACL-HLT 2019. paper code

• (GRank) Takuma Ebisu, Ryutaro Ichise. "Graph Pattern Entity Ranking Model for Knowledge Graph Completion". NAACL-HLT 2019. paper

• (ATiSE) Chengjin Xu, Mojtaba Nayyeri, Fouad Alkhoury, Jens Lehmann, Hamed Shariat Yazdi. ""Temporal Knowledge Graph Embedding Model based on Additive Time Series Decomposition". arxiv 2019-11. paper

• (S2E) Yongqi Zhang, Quanming Yao, Lei Chen. "Neural Recurrent Structure Search for Knowledge Graph Embedding". arxiv 2019-11. paper

• (CDC) Bo Peng, Renqiang Min, Xia Ning. "CNN-based Dual-Chain Models for Knowledge Graph Learning". arxiv 2019-11. paper

• (GC-OTE) Yun Tang, Jing Huang, Guangtao Wang, Xiaodong He, Bowen Zhou. "Orthogonal Relation Transforms with Graph Context Modeling for Knowledge Graph Embedding". arxiv 2019-11. paper

• (DeCom) Xiang Kong, Xianyang Chen, Eduard H. Hovy. "Decompressing Knowledge Graph Representations for Link Prediction". arxiv 2019-11. paper code

• Zhiqing Sun, Shikhar Vashishth, Soumya Sanyal, Partha P. Talukdar, Yiming Yang. "A Re-evaluation of Knowledge Graph Completion Methods". arxiv 2019-11. paper code

• (CoKE) Quan Wang, Pingping Huang, Haifeng Wang, Songtai Dai, Wenbin Jiang, Jing Liu, Yajuan Lyu, Yong Zhu, Hua Wu. "CoKE: Contextualized Knowledge Graph Embedding". arxiv 2019-11. paper code

• Carl Allen, Ivana Balazevic, Timothy M. Hospedales. "On Understanding Knowledge Graph Representation". arxiv 2019-09. paper

• Chen Cai. "Group Representation Theory for Knowledge Graph Embedding". arxiv 2019-09. paper

• Mojtaba Nayyeri, Chengjin Xu, Yadollah Yaghoobzadeh, Hamed Shariat Yazdi, Jens Lehmann. "Toward Understanding The Effect Of Loss function On Then Performance Of Knowledge Graph Embedding". arxiv 2019-09. paper

• (LogicENN) Mojtaba Nayyeri, Chengjin Xu, Jens Lehmann, Hamed Shariat Yazdi. "LogicENN: A Neural Based Knowledge Graphs Embedding Model with Logical Rules". arxiv 2019-08. paper

• (HyperKG) Prodromos Kolyvakis, Alexandros Kalousis, Dimitris Kiritsis. "HyperKG: Hyperbolic Knowledge Graph Embeddings for Knowledge Base Completion". arxiv 2019-08. paper code

• (R-MeN) Dai Quoc Nguyen, Tu Dinh Nguyen, Dinh Phung. "Relational Memory-based Knowledge Graph Embedding". arxiv 2019-07. paper

• (TransEAML) Mojtaba Nayyeri, Xiaotian Zhou, Sahar Vahdati, Hamed Shariat Yazdi, Jens Lehmann. "Adaptive Margin Ranking Loss for Knowledge Graph Embeddings via a Correntropy Objective Function". arxiv 2019-07. paper

• Rishab Goel, Seyed Mehran Kazemi, Marcus Brubaker, Pascal Poupart. "Diachronic Embedding for Temporal Knowledge Graph Completion". arxiv 2019-07. paper code

• (MDE) Afshin Sadeghi, Damien Graux, Jens Lehmann. "MDE: Multi Distance Embeddings for Link Prediction in Knowledge Graphs"". arxiv 2019-05". paper

• Jinkui Yao, Lianghua Xu. "Knowledge Graph Embedding Bi-Vector Models for Symmetric Relation". arxiv 2019-05. paper

• (TransESM) Mojtaba Nayyeri, Sahar Vahdati, Jens Lehmann, Hamed Shariat Yazdi. "Soft Marginal TransE for Scholarly Knowledge Graph Completion". arxiv 2019-04. paper

• (AutoKGE) Yongqi Zhang, Quanming Yao, Wenyuan Dai, Lei Chen. "AutoKGE: Searching Scoring Functions for Knowledge Graph Embedding". arxiv 2019-04. paper code

• (QCE) Yunpu Ma, Volker Tresp, Liming Zhao, Yuyi Wang. "Variational Quantum Circuit Model for Knowledge Graphs Embedding". arxiv 2019-03. paper

• Pengwei Wang, Dejing Dou, Fangzhao Wu, Nisansa de Silva, Lianwen Jin. "Logic Rules Powered Knowledge Graph Embedding". arxiv 2019-03. paper

• (InteractE) Shikhar Vashishth, Soumya Sanyal, Vikram Nitin, Nilesh Agrawal, Partha Talukdar. "InteractE: Improving Convolution-based Knowledge Graph Embeddings by Increasing Feature Interactions". AAAI 2020. paper code supp

• (HAKE) Zhanqiu Zhang, Jianyu Cai, Yongdong Zhang, Jie Wang. "Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction". AAAI 2020. paper code

• (FSRL) Chuxu Zhang, Huaxiu Yao, Chao Huang, Meng Jiang, Zhenhui Li, Nitesh V. Chawla. "Few-Shot Knowledge Graph Completion". AAAI 2020. paper

• (RPJE) Guanglin Niu, Yongfei Zhang, Bo Li, Peng Cui, Si Liu, Jingyang Li, Xiaowei Zhang. "Rule-Guided Compositional Representation Learning on Knowledge Graphs". AAAI 2020. paper

• (KANE) Wenqiang Liu, Hongyun Cai, Xu Cheng, Sifa Xie, Yipeng Yu, Hanyu Zhang. "Learning High-order Structural and Attribute information by Knowledge Graph Attention Networks for Enhancing Knowledge Graph Embedding". AAAI 2020. paper

• Takuma Ebisu1, Ryutaro Ichise. "Combination of Unified Embedding Model and Observed Features for Knowledge Graph Completion". AAAI 2020. paper

• (TransW) Lianbo Ma,Peng Sun, Zhiwei Lin, Hui Wang. ""Composing Knowledge Graph Embeddings via Word Embeddings". AAAI 2020. paper

• (KG-BERT) Liang Yao, Chengsheng Mao, Yuan Luo. "KG-BERT: BERT for Knowledge Graph Completion". AAAI 2020. paper code