A Review of Relational Machine Learning for Knowledge Graphs

2 March 2015

Papers citing "A Review of Relational Machine Learning for Knowledge Graphs"

50 / 475 papers shown

Title
Equivariant Entity-Relationship Networks Devon R. Graham Junhao Wang Siamak Ravanbakhsh 16 8 0 21 Mar 2019
Iteratively Learning Embeddings and Rules for Knowledge Graph Reasoning Wen Zhang B. Paudel Liang Wang Jiaoyan Chen Hai Zhu Wei Zhang Abraham Bernstein Huajun Chen 21 197 0 21 Mar 2019
MMKG: Multi-Modal Knowledge Graphs Ye Liu Hui Li Alberto García-Durán Mathias Niepert Daniel Oñoro-Rubio David S. Rosenblum 27 193 0 13 Mar 2019
What relations are reliably embeddable in Euclidean space? Robi Bhattacharjee S. Dasgupta 15 6 0 13 Mar 2019
Interaction Embeddings for Prediction and Explanation in Knowledge Graphs Wen Zhang B. Paudel Wei Zhang Abraham Bernstein Huajun Chen 17 185 0 12 Mar 2019
Bayesian Allocation Model: Inference by Sequential Monte Carlo for Nonnegative Tensor Factorizations and Topic Models using Polya Urns A. Cemgil M. Burak Kurutmaz S. Yıldırım Melih Barsbey Umut Simsekli 17 6 0 11 Mar 2019
RoboCSE: Robot Common Sense Embedding A. Daruna Weiyu Liu Z. Kira Sonia Chernova 11 43 0 01 Mar 2019
EL Embeddings: Geometric construction of models for the Description Logic EL ++ Maxat Kulmanov Wang Liu-Wei Yuan Yan Robert Hoehndorf 29 106 0 27 Feb 2019
SCEF: A Support-Confidence-aware Embedding Framework for Knowledge Graph Refinement Yu Zhao Ji Liu 18 5 0 18 Feb 2019
Can We Automate Diagrammatic Reasoning? Sk. Arif Ahmed D. P. Dogra S. Kar P. Roy D. Prasad 13 4 0 13 Feb 2019
Knowledge Graph Fact Prediction via Knowledge-Enriched Tensor Factorization Ankur Padia K. Kalpakis Francis Ferraro Timothy W. Finin 10 17 0 08 Feb 2019
A Relational Tucker Decomposition for Multi-Relational Link Prediction Yanjie Wang Samuel Broscheit Rainer Gemulla 14 5 0 03 Feb 2019
TuckER: Tensor Factorization for Knowledge Graph Completion Ivana Balazevic Carl Allen Timothy M. Hospedales 36 714 0 28 Jan 2019
Embedding Cardinality Constraints in Neural Link Predictors Emir Muñoz Pasquale Minervini Matthias Nickles 11 2 0 16 Dec 2018
NSCaching: Simple and Efficient Negative Sampling for Knowledge Graph Embedding Yongqi Zhang Quanming Yao Yingxia Shao Lei Chen BDL 8 123 0 16 Dec 2018
Improved Knowledge Graph Embedding using Background Taxonomic Information Bahare Fatemi Siamak Ravanbakhsh David Poole 33 39 0 07 Dec 2018
A Survey of Fake News: Fundamental Theories, Detection Methods, and Opportunities Xinyi Zhou R. Zafarani 14 280 0 02 Dec 2018
Interpretable Graph Convolutional Neural Networks for Inference on Noisy Knowledge Graphs Daniel Neil Joss Briody A. Lacoste Aaron Sim Páidí Creed Amir Saffari GNN 76 35 0 01 Dec 2018
Prediction of ESG Compliance using a Heterogeneous Information Network Ryohei Hisano D. Sornette Takayuki Mizuno 20 20 0 09 Nov 2018
On Evaluating Embedding Models for Knowledge Base Completion Yanjie Wang Daniel Ruffinelli Rainer Gemulla Samuel Broscheit Christian Meilicke 27 47 0 17 Oct 2018
Triple Trustworthiness Measurement for Knowledge Graph Shengbin Jia Yang Xiang Xiaojun Chen HILM 22 82 0 25 Sep 2018
Learning Sequence Encoders for Temporal Knowledge Graph Completion Alberto García-Durán Sebastijan Dumancic Mathias Niepert 198 400 0 10 Sep 2018
Feature Learning for Meta-Paths in Knowledge Graphs Sebastian Bischoff 36 0 0 07 Sep 2018
Improving Visual Relationship Detection using Semantic Modeling of Scene Descriptions S. Baier Yunpu Ma Volker Tresp 26 59 0 01 Sep 2018
Improving Information Extraction from Images with Learned Semantic Models S. Baier Yunpu Ma Volker Tresp VLM 26 10 0 27 Aug 2018
Data-dependent Learning of Symmetric/Antisymmetric Relations for Knowledge Base Completion Hitoshi Manabe Katsuhiko Hayashi Masashi Shimbo 16 11 0 25 Aug 2018
A Capsule Network-based Embedding Model for Knowledge Graph Completion and Search Personalization Dai Quoc Nguyen Thanh Tien Vu T. Nguyen Dat Quoc Nguyen Dinh Q. Phung GNN 3DPC KELM 27 231 0 13 Aug 2018
Global and local evaluation of link prediction tasks with neural embeddings Asan Agibetov Matthias Samwald 33 10 0 27 Jul 2018
LinkNBed: Multi-Graph Representation Learning with Entity Linkage Rakshit S. Trivedi Bunyamin Sisman Jun Ma Christos Faloutsos H. Zha Xin Luna Dong 11 44 0 23 Jul 2018
Towards Neural Theorem Proving at Scale Pasquale Minervini Matko Bosnjak Tim Rocktaschel Sebastian Riedel LRM NAI 24 38 0 21 Jul 2018
Natural Language Processing for Information Extraction Sonit Singh 17 59 0 06 Jul 2018
Model-based Exception Mining for Object-Relational Data Fatemeh Riahi Oliver Schulte 11 2 0 01 Jul 2018
Embedding Models for Episodic Knowledge Graphs Yunpu Ma Volker Tresp Erik A. Daxberger KELM 14 117 0 30 Jun 2018
Knowledge-Based Distant Regularization in Learning Probabilistic Models Naoya Takeishi Kosuke Akimoto 27 5 0 29 Jun 2018
A Computational Theory for Life-Long Learning of Semantics Peter Sutor D. Summers-Stay Yiannis Aloimonos 11 10 0 28 Jun 2018
Interpreting Embedding Models of Knowledge Bases: A Pedagogical Approach A. C. Gusmão Alvaro H. C. Correia Glauber De Bona Fabio Gagliardi Cozman 27 22 0 20 Jun 2018
Jack the Reader - A Machine Reading Framework Dirk Weissenborn Pasquale Minervini Tim Dettmers Isabelle Augenstein Johannes Welbl ... Matko Bosnjak Jeff Mitchell Thomas Demeester Pontus Stenetorp Sebastian Riedel 25 13 0 20 Jun 2018
Canonical Tensor Decomposition for Knowledge Base Completion Timothée Lacroix Nicolas Usunier G. Obozinski 25 382 0 19 Jun 2018
TrQuery: An Embedding-based Framework for Recommanding SPARQL Queries Lijing Zhang Xiaowang Zhang Zhiyong Feng 26 3 0 16 Jun 2018
Embedding Logical Queries on Knowledge Graphs William L. Hamilton Payal Bajaj Marinka Zitnik Dan Jurafsky J. Leskovec NAI 33 287 0 05 Jun 2018
Interpretable and Compositional Relation Learning by Joint Training with an Autoencoder Ryo Takahashi Ran Tian Kentaro Inui CoGe BDL 19 14 0 24 May 2018
RDF2Vec-based Classification of Ontology Alignment Changes Matthias Jurisch Bodo Igler 13 6 0 23 May 2018
Improving Knowledge Graph Embedding Using Simple Constraints Boyang Ding Quan Wang Bin Wang Li Guo 30 132 0 07 May 2018
Weakly-supervised Contextualization of Knowledge Graph Facts Nikos Voskarides Edgar Meij R. Reinanda Abhinav Khaitan M. Osborne Giorgio Stefanoni P. Kambadur Maarten de Rijke 13 22 0 07 May 2018
Fast and scalable learning of neuro-symbolic representations of biomedical knowledge Asan Agibetov Matthias Samwald 34 6 0 30 Apr 2018
OPA2Vec: combining formal and informal content of biomedical ontologies to improve similarity-based prediction F. Z. Smaili Xin Gao Robert Hoehndorf 23 142 0 29 Apr 2018
Not all Embeddings are created Equal: Extracting Entity-specific Substructures for RDF Graph Embedding Muhammad Rizwan Saeed C. Chelmis Viktor Prasanna 9 8 0 14 Apr 2018
Understanding Actors and Evaluating Personae with Gaussian Embeddings Hannah Kim Denys Katerenchuk Daniel Billet Jun Huan Haesun Park Boyang Albert Li 21 4 0 06 Apr 2018
Link Prediction Based on Graph Neural Networks Muhan Zhang Yixin Chen GNN 19 1,902 0 27 Feb 2018
Scalable Label Propagation for Multi-relational Learning on the Tensor Product of Graphs Zhuliu Li Raphael Petegrosso Shaden Smith David Sterling George Karypis R. Kuang 24 2 0 20 Feb 2018