暂无分享,去创建一个
[1] Steffen Staab,et al. Knowledge graphs , 2020, Commun. ACM.
[2] Jun Zhao,et al. Knowledge Graph Embedding via Dynamic Mapping Matrix , 2015, ACL.
[3] Jun Zhao,et al. Knowledge Graph Completion with Adaptive Sparse Transfer Matrix , 2016, AAAI.
[4] Jens Lehmann,et al. DBpedia: A Nucleus for a Web of Open Data , 2007, ISWC/ASWC.
[5] Qi Wu,et al. FVQA: Fact-Based Visual Question Answering , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[6] James P. Callan,et al. Explicit Semantic Ranking for Academic Search via Knowledge Graph Embedding , 2017, WWW.
[7] Zhen Wang,et al. Knowledge Graph Embedding by Translating on Hyperplanes , 2014, AAAI.
[8] Yoon Kim,et al. Convolutional Neural Networks for Sentence Classification , 2014, EMNLP.
[9] Guillaume Bouchard,et al. Complex Embeddings for Simple Link Prediction , 2016, ICML.
[10] Fan Yang,et al. Differentiable Learning of Logical Rules for Knowledge Base Reasoning , 2017, NIPS.
[11] Hua Wu,et al. An End-to-End Model for Question Answering over Knowledge Base with Cross-Attention Combining Global Knowledge , 2017, ACL.
[12] Dat Quoc Nguyen. An overview of embedding models of entities and relationships for knowledge base completion , 2017, ArXiv.
[13] Gerhard Weikum,et al. WWW 2007 / Track: Semantic Web Session: Ontologies ABSTRACT YAGO: A Core of Semantic Knowledge , 2022 .
[14] Pasquale Minervini,et al. Convolutional 2D Knowledge Graph Embeddings , 2017, AAAI.
[15] Hoifung Poon,et al. Compositional Learning of Embeddings for Relation Paths in Knowledge Base and Text , 2016, ACL.
[16] Jianfeng Gao,et al. Embedding Entities and Relations for Learning and Inference in Knowledge Bases , 2014, ICLR.
[17] Lizhen Qu,et al. STransE: a novel embedding model of entities and relationships in knowledge bases , 2016, NAACL.
[18] Max Welling,et al. Modeling Relational Data with Graph Convolutional Networks , 2017, ESWC.
[19] John Miller,et al. Traversing Knowledge Graphs in Vector Space , 2015, EMNLP.
[20] Jason Weston,et al. Natural Language Processing (Almost) from Scratch , 2011, J. Mach. Learn. Res..
[21] Tom M. Mitchell,et al. Leveraging Knowledge Bases in LSTMs for Improving Machine Reading , 2017, ACL.
[22] Ming-Wei Chang,et al. Traversing Knowledge Graph in Vector Space without Symbolic Space Guidance , 2016 .
[23] Rahul Gupta,et al. Knowledge base completion via search-based question answering , 2014, WWW.
[24] Simone Paolo Ponzetto,et al. Knowledge-based graph document modeling , 2014, WSDM.
[25] William Yang Wang,et al. KBGAN: Adversarial Learning for Knowledge Graph Embeddings , 2017, NAACL.
[26] Danqi Chen,et al. Reasoning With Neural Tensor Networks for Knowledge Base Completion , 2013, NIPS.
[27] Dat Quoc Nguyen,et al. Search Personalization with Embeddings , 2017, ECIR.
[28] Gerhard Weikum,et al. NAGA: Searching and Ranking Knowledge , 2008, 2008 IEEE 24th International Conference on Data Engineering.
[29] Huanbo Luan,et al. Modeling Relation Paths for Representation Learning of Knowledge Bases , 2015, EMNLP.
[30] Praveen Paritosh,et al. Freebase: a collaboratively created graph database for structuring human knowledge , 2008, SIGMOD Conference.
[31] Yelong Shen,et al. Link Prediction using Embedded Knowledge Graphs , 2016 .
[32] Lizhen Qu,et al. Neighborhood Mixture Model for Knowledge Base Completion , 2016, CoNLL.
[33] Mathias Niepert,et al. KBlrn: End-to-End Learning of Knowledge Base Representations with Latent, Relational, and Numerical Features , 2017, UAI.
[34] Jens Lehmann,et al. DBpedia - A large-scale, multilingual knowledge base extracted from Wikipedia , 2015, Semantic Web.
[35] Hua Wu,et al. Question Answering over Knowledge Base with Neural Attention Combining Global Knowledge Information , 2016, ArXiv.
[36] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[37] Jason Weston,et al. Translating Embeddings for Modeling Multi-relational Data , 2013, NIPS.
[38] Zhiyuan Liu,et al. Learning Entity and Relation Embeddings for Knowledge Graph Completion , 2015, AAAI.
[39] Lorenzo Rosasco,et al. Holographic Embeddings of Knowledge Graphs , 2015, AAAI.
[40] Yoshua Bengio,et al. Gradient-based learning applied to document recognition , 1998, Proc. IEEE.
[41] Tim Weninger,et al. ProjE: Embedding Projection for Knowledge Graph Completion , 2016, AAAI.
[42] Jason Weston,et al. Learning Structured Embeddings of Knowledge Bases , 2011, AAAI.
[43] Evgeniy Gabrilovich,et al. A Review of Relational Machine Learning for Knowledge Graphs , 2015, Proceedings of the IEEE.
[44] Li Guo,et al. Context-Dependent Knowledge Graph Embedding , 2015, EMNLP.
[45] Danqi Chen,et al. Observed versus latent features for knowledge base and text inference , 2015, CVSC.