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[1] Katia P. Sycara,et al. Nonnegative Matrix Tri-Factorization with Graph Regularization for Community Detection in Social Networks , 2015, IJCAI.
[2] Kevin Chen-Chuan Chang,et al. A Comprehensive Survey of Graph Embedding: Problems, Techniques, and Applications , 2017, IEEE Transactions on Knowledge and Data Engineering.
[3] Fei Wang,et al. Graph dual regularization non-negative matrix factorization for co-clustering , 2012, Pattern Recognit..
[4] Minlie Huang,et al. SSP: Semantic Space Projection for Knowledge Graph Embedding with Text Descriptions , 2016, AAAI.
[5] Julien Mairal,et al. Supervised feature selection in graphs with path coding penalties and network flows , 2012, J. Mach. Learn. Res..
[6] Daniel L. Rubin,et al. Inferring Generative Model Structure with Static Analysis , 2017, NIPS.
[7] Pascal Fua,et al. A constrained latent variable model , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[8] Sameer Singh,et al. Embedding Multimodal Relational Data , 2017, AKBC@NIPS.
[9] Eric P. Xing,et al. Grounding Topic Models with Knowledge Bases , 2016, IJCAI.
[10] Daniel Oñoro-Rubio,et al. Answering Visual-Relational Queries in Web-Extracted Knowledge Graphs , 2017, AKBC.
[11] Christopher Ré,et al. Learning the Structure of Generative Models without Labeled Data , 2017, ICML.
[12] Jianfeng Gao,et al. Embedding Entities and Relations for Learning and Inference in Knowledge Bases , 2014, ICLR.
[13] Matthew Richardson,et al. Markov logic networks , 2006, Machine Learning.
[14] Zhendong Mao,et al. Knowledge Graph Embedding: A Survey of Approaches and Applications , 2017, IEEE Transactions on Knowledge and Data Engineering.
[15] Baogang Wei,et al. Incorporating Probabilistic Knowledge into Topic Models , 2015, PAKDD.
[16] Jens Lehmann,et al. Incorporating Literals into Knowledge Graph Embeddings , 2018, SEMWEB.
[17] Jude W. Shavlik,et al. Knowledge-Based Artificial Neural Networks , 1994, Artif. Intell..
[18] Jean-Philippe Vert,et al. Group lasso with overlap and graph lasso , 2009, ICML '09.
[19] Nathanael Perraudin,et al. Fast Robust PCA on Graphs , 2015, IEEE Journal of Selected Topics in Signal Processing.
[20] Zhiyuan Liu,et al. Representation Learning of Knowledge Graphs with Entity Descriptions , 2016, AAAI.
[21] Jun Zhu,et al. Robust RegBayes: Selectively Incorporating First-Order Logic Domain Knowledge into Bayesian Models , 2014, ICML.
[22] Junzhou Huang,et al. Learning with structured sparsity , 2009, ICML '09.
[23] Rui Zhang,et al. Incorporating Knowledge Graph Embeddings into Topic Modeling , 2017, AAAI.
[24] Kristian Kersting,et al. Markov Logic Mixtures of Gaussian Processes: Towards Machines Reading Regression Data , 2012, AISTATS.
[25] Daniel Oñoro-Rubio,et al. Representation Learning for Visual-Relational Knowledge Graphs , 2017, ArXiv.
[26] Glenn Fung,et al. Knowledge-Based Support Vector Machine Classifiers , 2002, NIPS.
[27] Christopher De Sa,et al. Data Programming: Creating Large Training Sets, Quickly , 2016, NIPS.
[28] Xiaojin Zhu,et al. Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence A Framework for Incorporating General Domain Knowledge into Latent Dirichlet Allocation Using First-Order Logic , 2022 .
[29] Evgeniy Gabrilovich,et al. A Review of Relational Machine Learning for Knowledge Graphs , 2015, Proceedings of the IEEE.
[30] Nicholas Jing Yuan,et al. Collaborative Knowledge Base Embedding for Recommender Systems , 2016, KDD.
[31] Achim Rettinger,et al. Towards Holistic Concept Representations: Embedding Relational Knowledge, Visual Attributes, and Distributional Word Semantics , 2017, International Semantic Web Conference.
[32] James R. Foulds,et al. Latent Topic Networks: A Versatile Probabilistic Programming Framework for Topic Models , 2015, ICML.
[33] Ning Chen,et al. Bayesian inference with posterior regularization and applications to infinite latent SVMs , 2012, J. Mach. Learn. Res..
[34] Luc De Raedt,et al. Statistical Relational Artificial Intelligence: Logic, Probability, and Computation , 2016, Statistical Relational Artificial Intelligence.
[35] Miao Fan,et al. Distributed representation learning for knowledge graphs with entity descriptions , 2017, Pattern Recognit. Lett..
[36] Michael E. Tipping,et al. Probabilistic Principal Component Analysis , 1999 .
[37] Guillaume Bouchard,et al. On Approximate Reasoning Capabilities of Low-Rank Vector Spaces , 2015, AAAI Spring Symposia.