Adversarial Sets for Regularising Neural Link Predictors

24 July 2017

Papers citing "Adversarial Sets for Regularising Neural Link Predictors"

22 / 22 papers shown

Title
How to Turn Your Knowledge Graph Embeddings into Generative Models Lorenzo Loconte Nicola Di Mauro Robert Peharz Antonio Vergari 33 16 0 25 May 2023
ER: Equivariance Regularizer for Knowledge Graph Completion Zongsheng Cao Qianqian Xu Zhiyong Yang Qingming Huang 37 11 0 24 Jun 2022
Poisoning Knowledge Graph Embeddings via Relation Inference Patterns Peru Bhardwaj John D. Kelleher Luca Costabello Declan O’Sullivan 202 20 0 11 Nov 2021
Adversarial Attacks on Knowledge Graph Embeddings via Instance Attribution Methods Peru Bhardwaj John D. Kelleher Luca Costabello Declan O’Sullivan 21 19 0 04 Nov 2021
A Probabilistic Framework for Knowledge Graph Data Augmentation Jatin Chauhan Priyanshu Gupta Pasquale Minervini 26 4 0 25 Oct 2021
Combining Inductive and Deductive Reasoning for Query Answering over Incomplete Knowledge Graphs Medina Andresel T. Tran Csaba Domokos Pasquale Minervini Daria Stepanova 27 1 0 26 Jun 2021
Approximate Knowledge Graph Query Answering: From Ranking to Binary Classification Ruud van Bakel Teodor Aleksiev Daniel Daza Dimitrios Alivanistos Michael Cochez 16 5 0 22 Feb 2021
Duality-Induced Regularizer for Tensor Factorization Based Knowledge Graph Completion Zhanqiu Zhang Jianyu Cai Jie Wang 17 56 0 11 Nov 2020
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 40 177 0 13 Jul 2020
TransINT: Embedding Implication Rules in Knowledge Graphs with Isomorphic Intersections of Linear Subspaces So Yeon Min Preethi Raghavan Peter Szolovits 21 1 0 01 Jul 2020
A Simple Approach to Case-Based Reasoning in Knowledge Bases Rajarshi Das Ameya Godbole Shehzaad Dhuliawala Manzil Zaheer Andrew McCallum 23 24 0 25 Jun 2020
Analyzing Differentiable Fuzzy Implications Emile van Krieken Erman Acar F. V. Harmelen AI4CE 26 29 0 04 Jun 2020
Differentiable Reasoning on Large Knowledge Bases and Natural Language Pasquale Minervini Matko Bovsnjak Tim Rocktaschel Sebastian Riedel Edward Grefenstette LRM 24 88 0 17 Dec 2019
Neural Probabilistic Logic Programming in DeepProbLog Robin Manhaeve Sebastijan Dumancic Angelika Kimmig T. Demeester Luc de Raedt NAI 43 543 0 18 Jul 2019
Learning Relational Representations with Auto-encoding Logic Programs Sebastijan Dumancic Tias Guns Wannes Meert Hendrik Blockeel NAI 21 28 0 29 Mar 2019
Ontology Reasoning with Deep Neural Networks Patrick Hohenecker Thomas Lukasiewicz NAI 27 81 0 24 Aug 2018
Constraint-Based Visual Generation G. Marra Francesco Giannini Michelangelo Diligenti Marco Gori 3DV GAN 24 11 0 16 Jul 2018
MolGAN: An implicit generative model for small molecular graphs Nicola De Cao Thomas Kipf GNN GAN 35 909 0 30 May 2018
Extrapolation in NLP Jeff Mitchell Pasquale Minervini Pontus Stenetorp Sebastian Riedel 19 20 0 17 May 2018
Improving Knowledge Graph Embedding Using Simple Constraints Boyang Ding Quan Wang Bin Wang Li Guo 30 132 0 07 May 2018
A Semantic Loss Function for Deep Learning with Symbolic Knowledge Jingyi Xu Zilu Zhang Tal Friedman Yitao Liang Guy Van den Broeck 49 446 0 29 Nov 2017