CoDEx: A Comprehensive Knowledge Graph Completion Benchmark
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[1] Timothy M. Hospedales,et al. TuckER: Tensor Factorization for Knowledge Graph Completion , 2019, EMNLP.
[2] Geoffrey E. Hinton,et al. Learning distributed representations of concepts. , 1989 .
[3] S. Berg. Snowball Sampling—I , 2006 .
[4] Michael Gamon,et al. Representing Text for Joint Embedding of Text and Knowledge Bases , 2015, EMNLP.
[5] Bin Wang,et al. Adaptive Convolution for Multi-Relational Learning , 2019, NAACL.
[6] Fabian M. Suchanek,et al. Fast and Exact Rule Mining with AMIE 3 , 2020, ESWC.
[7] Tim Weninger,et al. ProjE: Embedding Projection for Knowledge Graph Completion , 2016, AAAI.
[8] Zhiyuan Liu,et al. Representation Learning of Knowledge Graphs with Hierarchical Types , 2016, IJCAI.
[9] Fabian M. Suchanek,et al. AMIE: association rule mining under incomplete evidence in ontological knowledge bases , 2013, WWW.
[10] Alexander J. Smola,et al. Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning , 2017, ICLR.
[11] Antoine Bordes,et al. Composing Relationships with Translations , 2015, EMNLP.
[12] Li Guo,et al. Knowledge Base Completion Using Embeddings and Rules , 2015, IJCAI.
[13] Richard Socher,et al. Multi-Hop Knowledge Graph Reasoning with Reward Shaping , 2018, EMNLP.
[14] Zhao Zhang,et al. Relational Graph Neural Network with Hierarchical Attention for Knowledge Graph Completion , 2020, AAAI.
[15] Yuanzhuo Wang,et al. Locally Adaptive Translation for Knowledge Graph Embedding , 2015, AAAI.
[16] Dai Quoc Nguyen,et al. A Capsule Network-based Embedding Model for Knowledge Graph Completion and Search Personalization , 2018, NAACL.
[17] Rudolf Kadlec,et al. Knowledge Base Completion: Baselines Strike Back , 2017, Rep4NLP@ACL.
[18] Han Xiao,et al. TransG : A Generative Model for Knowledge Graph Embedding , 2015, ACL.
[19] Pasquale Minervini,et al. Convolutional 2D Knowledge Graph Embeddings , 2017, AAAI.
[20] Mausam,et al. Knowledge Base Completion: Baseline strikes back (Again) , 2020, ArXiv.
[21] Li Guo,et al. Knowledge Graph Embedding with Iterative Guidance from Soft Rules , 2017, AAAI.
[22] Lina Yao,et al. Quaternion Knowledge Graph Embeddings , 2019, NeurIPS.
[23] Yoshua Bengio,et al. Understanding the difficulty of training deep feedforward neural networks , 2010, AISTATS.
[24] Dai Quoc Nguyen,et al. A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural Network , 2017, NAACL.
[25] Hans-Peter Kriegel,et al. A Three-Way Model for Collective Learning on Multi-Relational Data , 2011, ICML.
[26] Zhen Wang,et al. Knowledge Graph Embedding by Translating on Hyperplanes , 2014, AAAI.
[27] Jianfeng Gao,et al. Embedding Entities and Relations for Learning and Inference in Knowledge Bases , 2014, ICLR.
[28] Lizhen Qu,et al. STransE: a novel embedding model of entities and relationships in knowledge bases , 2016, NAACL.
[29] Han Xiao,et al. From One Point to a Manifold: Knowledge Graph Embedding for Precise Link Prediction , 2015, IJCAI.
[30] William Yang Wang,et al. KBGAN: Adversarial Learning for Knowledge Graph Embeddings , 2017, NAACL.
[31] Danqi Chen,et al. Reasoning With Neural Tensor Networks for Knowledge Base Completion , 2013, NIPS.
[32] William Yang Wang,et al. Learning First-Order Logic Embeddings via Matrix Factorization , 2016, IJCAI.
[33] Andrew McCallum,et al. A2N: Attending to Neighbors for Knowledge Graph Inference , 2019, ACL.
[34] Guillaume Bouchard,et al. Complex Embeddings for Simple Link Prediction , 2016, ICML.
[35] Huanbo Luan,et al. Modeling Relation Paths for Representation Learning of Knowledge Bases , 2015, EMNLP.
[36] John Miller,et al. Traversing Knowledge Graphs in Vector Space , 2015, EMNLP.
[37] Wenhan Xiong,et al. DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning , 2017, EMNLP.
[38] Les Carr,et al. A Glimpse into Babel: An Analysis of Multilinguality in Wikidata , 2017, OpenSym.
[39] Timothy M. Hospedales,et al. Multi-relational Poincaré Graph Embeddings , 2019, NeurIPS.
[40] Guillaume Bouchard,et al. On Inductive Abilities of Latent Factor Models for Relational Learning , 2017, J. Artif. Intell. Res..
[41] Praveen Paritosh,et al. Freebase: a collaboratively created graph database for structuring human knowledge , 2008, SIGMOD Conference.
[42] Fabian M. Suchanek,et al. YAGO3: A Knowledge Base from Multilingual Wikipedias , 2015, CIDR.
[43] Ruijiang Li,et al. Relation Embedding with Dihedral Group in Knowledge Graph , 2019, ACL.
[44] Markus Krötzsch,et al. Wikidata , 2014, Commun. ACM.
[45] Vladimir Batagelj,et al. Fast algorithms for determining (generalized) core groups in social networks , 2011, Adv. Data Anal. Classif..
[46] Yiming Yang,et al. Analogical Inference for Multi-relational Embeddings , 2017, ICML.
[47] Lorenzo Rosasco,et al. Holographic Embeddings of Knowledge Graphs , 2015, AAAI.
[48] Zhiyuan Liu,et al. Knowledge Representation Learning with Entities, Attributes and Relations , 2016, IJCAI.
[49] Evgeniy Gabrilovich,et al. A Review of Relational Machine Learning for Knowledge Graphs , 2015, Proceedings of the IEEE.
[50] Ryutaro Ichise,et al. TorusE: Knowledge Graph Embedding on a Lie Group , 2017, AAAI.
[51] Vikram Nitin,et al. InteractE: Improving Convolution-based Knowledge Graph Embeddings by Increasing Feature Interactions , 2020, AAAI.
[52] Pouya Pezeshkpour,et al. Revisiting Evaluation of Knowledge Base Completion Models , 2020, AKBC.
[53] Wei Hu,et al. Learning to Exploit Long-term Relational Dependencies in Knowledge Graphs , 2019, ICML.
[54] Philip S. Yu,et al. A Survey on Knowledge Graphs: Representation, Acquisition and Applications , 2020, ArXiv.
[55] Christiane Fellbaum,et al. Book Reviews: WordNet: An Electronic Lexical Database , 1999, CL.
[56] Danqi Chen,et al. Observed versus latent features for knowledge base and text inference , 2015, CVSC.
[57] Rainer Gemulla,et al. You CAN Teach an Old Dog New Tricks! On Training Knowledge Graph Embeddings , 2020, ICLR.
[58] Manohar Kaul,et al. Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs , 2019, ACL.
[59] Guillaume Bouchard,et al. On Approximate Reasoning Capabilities of Low-Rank Vector Spaces , 2015, AAAI Spring Symposia.
[60] Jian-Yun Nie,et al. RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space , 2018, ICLR.
[61] Thomas Pellissier Tanon,et al. From Freebase to Wikidata: The Great Migration , 2016, WWW.
[62] Thomas L. Griffiths,et al. Learning Systems of Concepts with an Infinite Relational Model , 2006, AAAI.
[63] Zhendong Mao,et al. Knowledge Graph Embedding: A Survey of Approaches and Applications , 2017, IEEE Transactions on Knowledge and Data Engineering.
[64] Jason Weston,et al. Translating Embeddings for Modeling Multi-relational Data , 2013, NIPS.
[65] Alexa T. McCray,et al. An Upper-Level Ontology for the Biomedical Domain , 2003, Comparative and functional genomics.
[66] Zhiyuan Liu,et al. Learning Entity and Relation Embeddings for Knowledge Graph Completion , 2015, AAAI.
[67] Seyed Mehran Kazemi,et al. SimplE Embedding for Link Prediction in Knowledge Graphs , 2018, NeurIPS.
[68] Chengkai Li,et al. Realistic Re-evaluation of Knowledge Graph Completion Methods: An Experimental Study , 2020, SIGMOD Conference.
[69] Heiner Stuckenschmidt,et al. Fine-Grained Evaluation of Rule- and Embedding-Based Systems for Knowledge Graph Completion , 2018, SEMWEB.
[70] Nicolas Usunier,et al. Canonical Tensor Decomposition for Knowledge Base Completion , 2018, ICML.
[71] Jun Zhao,et al. Knowledge Graph Embedding via Dynamic Mapping Matrix , 2015, ACL.
[72] Li Guo,et al. Semantically Smooth Knowledge Graph Embedding , 2015, ACL.