Lifted Rule Injection for Relation Embeddings

27 June 2016

Papers citing "Lifted Rule Injection for Relation Embeddings"

21 / 21 papers shown

Title
Find Parent then Label Children: A Two-stage Taxonomy Completion Method with Pre-trained Language Model Fei Xia Yixuan Weng Shizhu He Kang Liu Jun Zhao 33 2 0 25 Jun 2024
A Review of Some Techniques for Inclusion of Domain-Knowledge into Deep Neural Networks T. Dash Sharad Chitlangia Aditya Ahuja A. Srinivasan 37 127 0 21 Jul 2021
What Can Knowledge Bring to Machine Learning? -- A Survey of Low-shot Learning for Structured Data Yang Hu Adriane P. Chapman Guihua Wen Dame Wendy Hall 44 24 0 11 Jun 2021
Modular Design Patterns for Hybrid Learning and Reasoning Systems: a taxonomy, patterns and use cases M. V. Bekkum M. D. Boer F. V. Harmelen André Meyer-Vitali A. T. Teije 28 69 0 23 Feb 2021
Learning Reasoning Strategies in End-to-End Differentiable Proving Pasquale Minervini Sebastian Riedel Pontus Stenetorp Edward Grefenstette Tim Rocktaschel LRM 45 96 0 13 Jul 2020
BoxE: A Box Embedding Model for Knowledge Base Completion Ralph Abboud .Ismail .Ilkan Ceylan Thomas Lukasiewicz Tommaso Salvatori 38 177 0 13 Jul 2020
TransINT: Embedding Implication Rules in Knowledge Graphs with Isomorphic Intersections of Linear Subspaces So Yeon Min Preethi Raghavan Peter Szolovits 13 1 0 01 Jul 2020
Propositionalization and Embeddings: Two Sides of the Same Coin Nada Lavrac Blaž Škrlj Marko Robnik-Šikonja 18 26 0 08 Jun 2020
Analyzing Differentiable Fuzzy Implications Emile van Krieken Erman Acar F. V. Harmelen AI4CE 26 29 0 04 Jun 2020
Neural Probabilistic Logic Programming in DeepProbLog Robin Manhaeve Sebastijan Dumancic Angelika Kimmig T. Demeester Luc de Raedt NAI 35 542 0 18 Jul 2019
A Boxology of Design Patterns for Hybrid Learning and Reasoning Systems F. V. Harmelen A. T. Teije 8 67 0 29 May 2019
Learning Relational Representations with Auto-encoding Logic Programs Sebastijan Dumancic Tias Guns Wannes Meert Hendrik Blockeel NAI 21 28 0 29 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
Improved Knowledge Graph Embedding using Background Taxonomic Information Bahare Fatemi Siamak Ravanbakhsh David Poole 28 39 0 07 Dec 2018
Ontology Reasoning with Deep Neural Networks Patrick Hohenecker Thomas Lukasiewicz NAI 27 81 0 24 Aug 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
Marrying up Regular Expressions with Neural Networks: A Case Study for Spoken Language Understanding Bingfeng Luo Yansong Feng Zheng Wang Songfang Huang Rui Yan Dongyan Zhao 19 39 0 15 May 2018
Improving Knowledge Graph Embedding Using Simple Constraints Boyang Ding Quan Wang Bin Wang Li Guo 30 132 0 07 May 2018
Knowledge Graph Embedding with Iterative Guidance from Soft Rules Shu Guo Quan Wang Lihong Wang Bin Wang Li Guo 32 218 0 30 Nov 2017
A Semantic Loss Function for Deep Learning with Symbolic Knowledge Jingyi Xu Zilu Zhang Tal Friedman Yitao Liang Mathias Niepert 46 446 0 29 Nov 2017
Poincaré Embeddings for Learning Hierarchical Representations Maximilian Nickel Douwe Kiela 20 1,279 0 22 May 2017