Analysis of the Impact of Negative Sampling on Link Prediction in Knowledge Graphs

22 August 2017

Papers citing "Analysis of the Impact of Negative Sampling on Link Prediction in Knowledge Graphs"

11 / 11 papers shown

Title
Utilizing Graph Neural Networks for Effective Link Prediction in Microservice Architectures Ghazal Khodabandeh Alireza Ezaz Majid Babaei Naser Ezzati-Jivan 36 0 0 28 Jan 2025
Negative Sampling in Knowledge Graph Representation Learning: A Review Tiroshan Madushanka R. Ichise 57 8 0 29 Feb 2024
TWIG: Towards pre-hoc Hyperparameter Optimisation and Cross-Graph Generalisation via Simulated KGE Models J. Sardina John D. Kelleher Declan O’Sullivan 33 0 0 08 Feb 2024
Treat Different Negatives Differently: Enriching Loss Functions with Domain and Range Constraints for Link Prediction Nicolas Hubert Pierre Monnin Armelle Brun D. Monticolo 29 4 0 01 Mar 2023
Leveraging Wikidata's edit history in knowledge graph refinement tasks A. Hevia Daniel Gayo-Avello KELM 28 2 0 27 Oct 2022
Scaling Knowledge Graph Embedding Models Nasrullah Sheikh Xiao Qin B. Reinwald Chuan Lei 44 5 0 08 Jan 2022
Synthesizing Adversarial Negative Responses for Robust Response Ranking and Evaluation Prakhar Gupta Yulia Tsvetkov Jeffrey P. Bigham 47 22 0 10 Jun 2021
Neighborhood Matching Network for Entity Alignment Yuting Wu Xiao Liu Yansong Feng Zheng Wang Dongyan Zhao 29 124 0 12 May 2020
Benchmarking Network Embedding Models for Link Prediction: Are We Making Progress? Alexandru Mara Jefrey Lijffijt T. D. Bie 43 22 0 25 Feb 2020
Probability Calibration for Knowledge Graph Embedding Models Pedro Tabacof Luca Costabello 14 46 0 20 Dec 2019
A Survey on Knowledge Graph Embeddings with Literals: Which model links better Literal-ly? Genet Asefa Gesese Russa Biswas Mehwish Alam Harald Sack 30 82 0 28 Oct 2019