Rule Induction in Knowledge Graphs Using Linear Programming

15 October 2021

Papers citing "Rule Induction in Knowledge Graphs Using Linear Programming"

34 / 34 papers shown

Title
MARS: A neurosymbolic approach for interpretable drug discovery L. Delong Yojana Gadiya Paola Galdi Jacques D. Fleuriot Daniel Domingo-Fernández 361 2 0 02 Oct 2024
Neuro-Symbolic Inductive Logic Programming with Logical Neural Networks Prithviraj Sen B. W. Carvalho Ryan Riegel Alexander G. Gray NAI AI4CE 119 57 0 06 Dec 2021
Relational Reasoning Networks G. Marra Michelangelo Diligenti Francesco Giannini NAI 67 4 0 01 Jun 2021
Interpretable Machine Learning: Fundamental Principles and 10 Grand Challenges Cynthia Rudin Chaofan Chen Zhi Chen Haiyang Huang Lesia Semenova Chudi Zhong FaML AI4CE LRM 195 671 0 20 Mar 2021
Universal Representation Learning of Knowledge Bases by Jointly Embedding Instances and Ontological Concepts Junheng Hao Muhao Chen Wenchao Yu Yizhou Sun Wei Wang 48 168 0 15 Mar 2021
RNNLogic: Learning Logic Rules for Reasoning on Knowledge Graphs Meng Qu Junkun Chen Louis-Pascal Xhonneux Yoshua Bengio Jian Tang NAI LRM AI4CE 71 170 0 08 Oct 2020
Survey of explainable machine learning with visual and granular methods beyond quasi-explanations Boris Kovalerchuk M. Ahmad University of Washington Tacoma 43 42 0 21 Sep 2020
Type-augmented Relation Prediction in Knowledge Graphs Zijun Cui Pavan Kapanipathi Kartik Talamadupula Tian Gao Q. Ji 54 41 0 16 Sep 2020
5* Knowledge Graph Embeddings with Projective Transformations M. Nayyeri S. Vahdati Can Aykul Jens Lehmann 48 33 0 08 Jun 2020
Learning programs by learning from failures Andrew Cropper Rolf Morel 75 91 0 05 May 2020
Low-Dimensional Hyperbolic Knowledge Graph Embeddings Ines Chami A. Wolf Da-Cheng Juan Frederic Sala Sujith Ravi Christopher Ré 54 394 0 01 May 2020
On the Ambiguity of Rank-Based Evaluation of Entity Alignment or Link Prediction Methods M. Berrendorf Evgeniy Faerman Laurent Vermue Volker Tresp 78 19 0 17 Feb 2020
A Survey on Knowledge Graphs: Representation, Acquisition and Applications Shaoxiong Ji Shirui Pan Min Zhang Pekka Marttinen Philip S. Yu 292 1,988 0 02 Feb 2020
Inductive Relation Prediction by Subgraph Reasoning Komal K. Teru E. Denis William L. Hamilton NAI AI4CE 70 393 0 16 Nov 2019
A Re-evaluation of Knowledge Graph Completion Methods Zhiqing Sun Shikhar Vashishth Soumya Sanyal Partha P. Talukdar Yiming Yang 80 168 0 10 Nov 2019
DRUM: End-To-End Differentiable Rule Mining On Knowledge Graphs A. Sadeghian Mohammadreza Armandpour P. Ding D. Wang 74 311 0 31 Oct 2019
Learn to Explain Efficiently via Neural Logic Inductive Learning Yu’an Yang Le Song NAI 52 77 0 06 Oct 2019
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 554 4,339 0 23 Aug 2019
LogicENN: A Neural Based Knowledge Graphs Embedding Model with Logical Rules M. Nayyeri Chengjin Xu Jens Lehmann H. S. Yazdi NAI 96 15 0 20 Aug 2019
Probabilistic Logic Neural Networks for Reasoning Meng Qu Jian Tang 63 163 0 20 Jun 2019
RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space Zhiqing Sun Zhihong Deng Jian-Yun Nie Jian Tang 102 2,128 0 26 Feb 2019
TuckER: Tensor Factorization for Knowledge Graph Completion Ivana Balazevic Carl Allen Timothy M. Hospedales 73 725 0 28 Jan 2019
Multi-Hop Knowledge Graph Reasoning with Reward Shaping Xi Lin R. Socher Caiming Xiong LRM 85 334 0 31 Aug 2018
Canonical Tensor Decomposition for Knowledge Base Completion Timothée Lacroix Nicolas Usunier G. Obozinski 70 386 0 19 Jun 2018
Boolean Decision Rules via Column Generation S. Dash Oktay Gunluk Dennis L. Wei 63 174 0 24 May 2018
Improving Knowledge Graph Embedding Using Simple Constraints Boyang Ding Quan Wang Bin Wang Li Guo 87 133 0 07 May 2018
M-Walk: Learning to Walk over Graphs using Monte Carlo Tree Search Yelong Shen Jianshu Chen Po-Sen Huang Yuqing Guo Jianfeng Gao 49 127 0 12 Feb 2018
Knowledge Graph Embedding with Iterative Guidance from Soft Rules Shu Guo Quan Wang Lihong Wang Bin Wang Li Guo 60 218 0 30 Nov 2017
Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning Rajarshi Das Shehzaad Dhuliawala Manzil Zaheer Luke Vilnis Ishan Durugkar A. Krishnamurthy Alex Smola Andrew McCallum KELM 91 510 0 15 Nov 2017
Learning Explanatory Rules from Noisy Data Richard Evans Edward Grefenstette 111 483 0 13 Nov 2017
DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning Wenhan Xiong Thi-Lan-Giao Hoang William Yang Wang 66 723 0 20 Jul 2017
Convolutional 2D Knowledge Graph Embeddings Tim Dettmers Pasquale Minervini Pontus Stenetorp Sebastian Riedel GNN 3DV 183 2,610 0 05 Jul 2017
Complex Embeddings for Simple Link Prediction Théo Trouillon Johannes Welbl Sebastian Riedel Éric Gaussier Guillaume Bouchard BDL 88 2,970 0 20 Jun 2016
Embedding Entities and Relations for Learning and Inference in Knowledge Bases Bishan Yang Wen-tau Yih Xiaodong He Jianfeng Gao Li Deng NAI 93 3,192 0 20 Dec 2014