Stay Positive: Knowledge Graph Embedding Without Negative Sampling

7 January 2022

Papers citing "Stay Positive: Knowledge Graph Embedding Without Negative Sampling"

5 / 5 papers shown

Title
Negative Sampling in Knowledge Graph Representation Learning: A Review Tiroshan Madushanka R. Ichise 52 8 0 29 Feb 2024
Are We Wasting Time? A Fast, Accurate Performance Evaluation Framework for Knowledge Graph Link Predictors Filip Cornell Yifei Jin Jussi Karlgren Sarunas Girdzijauskas 26 0 0 25 Jan 2024
A Comprehensive Study on Knowledge Graph Embedding over Relational Patterns Based on Rule Learning Long Jin Zhen Yao Mingyang Chen Hua-zeng Chen Wen Zhang 19 3 0 15 Aug 2023
Entity Aware Negative Sampling with Auxiliary Loss of False Negative Prediction for Knowledge Graph Embedding Sang-hyun Je 27 3 0 12 Oct 2022
KG-NSF: Knowledge Graph Completion with a Negative-Sample-Free Approach A.B. Bahaj Safae Lhazmir Mounir Ghogho 19 1 0 29 Jul 2022