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Pasquale Minervini | Sebastian Riedel | Pontus Stenetorp | Tim Dettmers | S. Riedel | Pontus Stenetorp | Pasquale Minervini | Tim Dettmers
[1] Yoon Kim,et al. Convolutional Neural Networks for Sentence Classification , 2014, EMNLP.
[2] Yelong Shen,et al. Learning semantic representations using convolutional neural networks for web search , 2014, WWW.
[3] Wei Zhang,et al. Knowledge vault: a web-scale approach to probabilistic knowledge fusion , 2014, KDD.
[4] Michael Gamon,et al. Representing Text for Joint Embedding of Text and Knowledge Bases , 2015, EMNLP.
[5] Jianfeng Gao,et al. Embedding Entities and Relations for Learning and Inference in Knowledge Bases , 2014, ICLR.
[6] Lizhen Qu,et al. STransE: a novel embedding model of entities and relationships in knowledge bases , 2016, NAACL.
[7] Max Welling,et al. Modeling Relational Data with Graph Convolutional Networks , 2017, ESWC.
[8] Sergey Ioffe,et al. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift , 2015, ICML.
[9] Sergio J. Rey,et al. PySAL: A Python Library of Spatial Analytical Methods , 2010 .
[10] Alán Aspuru-Guzik,et al. Convolutional Networks on Graphs for Learning Molecular Fingerprints , 2015, NIPS.
[11] Hans-Peter Kriegel,et al. A Three-Way Model for Collective Learning on Multi-Relational Data , 2011, ICML.
[12] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[13] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[14] Nitish Srivastava,et al. Dropout: a simple way to prevent neural networks from overfitting , 2014, J. Mach. Learn. Res..
[15] Yiming Yang,et al. Analogical Inference for Multi-relational Embeddings , 2017, ICML.
[16] Lorenzo Rosasco,et al. Holographic Embeddings of Knowledge Graphs , 2015, AAAI.
[17] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[18] Yoshua Bengio,et al. Gradient-based learning applied to document recognition , 1998, Proc. IEEE.
[19] van den Berg,et al. UvA-DARE (Digital Academic Modeling Relational Data with Graph Convolutional Networks Modeling Relational Data with Graph Convolutional Networks , 2017 .
[20] Xavier Bresson,et al. Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering , 2016, NIPS.
[21] Evgeniy Gabrilovich,et al. A Review of Relational Machine Learning for Knowledge Graphs , 2015, Proceedings of the IEEE.
[22] Mathias Niepert. Discriminative Gaifman Models , 2016, NIPS.
[23] Jason Weston,et al. Natural Language Processing (Almost) from Scratch , 2011, J. Mach. Learn. Res..
[24] Jason Weston,et al. Translating Embeddings for Modeling Multi-relational Data , 2013, NIPS.
[25] Max Welling,et al. Semi-Supervised Classification with Graph Convolutional Networks , 2016, ICLR.
[26] Jason Weston,et al. A semantic matching energy function for learning with multi-relational data , 2013, Machine Learning.
[27] Michael I. Jordan,et al. Advances in Neural Information Processing Systems 30 , 1995 .
[28] Volker Tresp,et al. Type-Constrained Representation Learning in Knowledge Graphs , 2015, SEMWEB.
[29] Phil Blunsom,et al. A Convolutional Neural Network for Modelling Sentences , 2014, ACL.
[30] John C. Platt,et al. Learning Discriminative Projections for Text Similarity Measures , 2011, CoNLL.
[31] Yoram Singer,et al. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization , 2011, J. Mach. Learn. Res..
[32] Dumitru Erhan,et al. Going deeper with convolutions , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[33] Sergey Ioffe,et al. Rethinking the Inception Architecture for Computer Vision , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[34] Danqi Chen,et al. Observed versus latent features for knowledge base and text inference , 2015, CVSC.
[35] Qiao Liu,et al. Hierarchical Random Walk Inference in Knowledge Graphs , 2016, SIGIR.
[36] Guillaume Bouchard,et al. On Approximate Reasoning Capabilities of Low-Rank Vector Spaces , 2015, AAAI Spring Symposia.
[37] Guillaume Bouchard,et al. Complex Embeddings for Simple Link Prediction , 2016, ICML.
[38] Fabian M. Suchanek,et al. YAGO3: A Knowledge Base from Multilingual Wikipedias , 2015, CIDR.