A Review of Relational Machine Learning for Knowledge Graphs

2 March 2015

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

25 / 475 papers shown

Title
Discriminative Gaifman Models Mathias Niepert TPM 19 42 0 28 Oct 2016
Relational Models Volker Tresp Maximilian Nickel 14 5 0 11 Sep 2016
A Neural Knowledge Language Model Sungjin Ahn Heeyoul Choi Tanel Pärnamaa Yoshua Bengio 33 123 0 01 Aug 2016
An Evolutionary Algorithm to Learn SPARQL Queries for Source-Target-Pairs: Finding Patterns for Human Associations in DBpedia Jörn Hees Rouven Bauer Joachim Folz Damian Borth Andreas Dengel 19 10 0 25 Jul 2016
Generic Statistical Relational Entity Resolution in Knowledge Graphs Jay Pujara Lise Getoor 11 11 0 04 Jul 2016
Clustering-Based Relational Unsupervised Representation Learning with an Explicit Distributed Representation Sebastijan Dumancic Hendrik Blockeel SSL 17 15 0 28 Jun 2016
Lifted Rule Injection for Relation Embeddings T. Demeester Tim Rocktaschel Sebastian Riedel NAI 24 144 0 27 Jun 2016
STransE: a novel embedding model of entities and relationships in knowledge bases Dat Quoc Nguyen Kairit Sirts Lizhen Qu Mark Johnson 29 181 0 27 Jun 2016
Neighborhood Mixture Model for Knowledge Base Completion Dat Quoc Nguyen Kairit Sirts Lizhen Qu Mark Johnson 35 42 0 21 Jun 2016
Complex Embeddings for Simple Link Prediction Théo Trouillon Johannes Welbl Sebastian Riedel Éric Gaussier Guillaume Bouchard BDL 11 2,934 0 20 Jun 2016
Bayesian Poisson Tucker Decomposition for Learning the Structure of International Relations Aaron Schein Mingyuan Zhou David M. Blei Hanna M. Wallach 23 88 0 06 Jun 2016
A Critical Examination of RESCAL for Completion of Knowledge Bases with Transitive Relations Pushpendre Rastogi Benjamin Van Durme 11 0 0 16 May 2016
On the representation and embedding of knowledge bases beyond binary relations Jianfeng Wen Jianxin Li Yongyi Mao Shini Chen Richong Zhang 67 116 0 28 Apr 2016
Row-less Universal Schema Pat Verga Andrew McCallum AI4TS 12 24 0 21 Apr 2016
Multi-Relational Learning at Scale with ADMM Lucas Drumond Ernesto Diaz-Aviles Lars Schmidt-Thieme 17 3 0 03 Apr 2016
Probabilistic Reasoning via Deep Learning: Neural Association Models Quan Liu Hui Jiang Andrew Evdokimov Zhenhua Ling Xiaodan Zhu Si Wei Yu Hu BDL 33 96 0 24 Mar 2016
Trust from the past: Bayesian Personalized Ranking based Link Prediction in Knowledge Graphs Baichuan Zhang Sutanay Choudhury M. Hasan Xia Ning Khushbu Agarwal Sumit Purohit Paola Gabriela Pesntez Cabrera BDL 9 29 0 14 Jan 2016
Predicting the Co-Evolution of Event and Knowledge Graphs Cristóbal Esteban Volker Tresp Yinchong Yang S. Baier Denis Krompass 32 47 0 21 Dec 2015
Learning with Memory Embeddings Volker Tresp Cristóbal Esteban Yinchong Yang S. Baier Denis Krompass 32 30 0 25 Nov 2015
Neural Network Matrix Factorization Gintare Karolina Dziugaite Daniel M. Roy 22 176 0 19 Nov 2015
Multilingual Relation Extraction using Compositional Universal Schema Pat Verga David Belanger Emma Strubell Benjamin Roth Andrew McCallum 16 96 0 19 Nov 2015
Discriminative Predicate Path Mining for Fact Checking in Knowledge Graphs Baoxu Shi Tim Weninger 17 171 0 20 Oct 2015
Holographic Embeddings of Knowledge Graphs Maximilian Nickel Lorenzo Rosasco T. Poggio 6 1,191 0 16 Oct 2015
Type-Constrained Representation Learning in Knowledge Graphs Denis Krompass S. Baier Volker Tresp NAI 16 223 0 11 Aug 2015
Formalising Hypothesis Virtues in Knowledge Graphs: A General Theoretical Framework and its Validation in Literature-Based Discovery Experiments V. Nováček 21 2 0 31 Mar 2015