Negative Sampling in Knowledge Graph Representation Learning: A Review

29 February 2024

Papers citing "Negative Sampling in Knowledge Graph Representation Learning: A Review"

8 / 8 papers shown

Title
Diffusion-based Hierarchical Negative Sampling for Multimodal Knowledge Graph Completion Guanglin Niu Xiaowei Zhang 33 0 0 28 Jan 2025
Towards Pattern-aware Data Augmentation for Temporal Knowledge Graph Completion Jiasheng Zhang Deqiang Ouyang Shuang Liang Jie Shao 27 0 0 03 Jan 2025
Domain and Range Aware Synthetic Negatives Generation for Knowledge Graph Embedding Models Alberto Bernardi Luca Costabello 67 0 0 22 Nov 2024
From Wide to Deep: Dimension Lifting Network for Parameter-efficient Knowledge Graph Embedding Borui Cai Yong Xiang Longxiang Gao Di Wu Heng Zhang Jiongdao Jin Tom H. Luan 21 1 0 22 Mar 2023
MixKG: Mixing for harder negative samples in knowledge graph Feihu Che Guohua Yang Pengpeng Shao Dawei Zhang J. Tao 28 6 0 19 Feb 2022
Relation-aware Graph Attention Model With Adaptive Self-adversarial Training Xiao Qin Nasrullah Sheikh B. Reinwald Lingfei Wu 53 30 0 14 Feb 2021
MöbiusE: Knowledge Graph Embedding on Möbius Ring Yao Chen Jiangang Liu Zhe Zhang S. Wen Wenjun Xiong 26 12 0 07 Jan 2021
A Survey on Knowledge Graphs: Representation, Acquisition and Applications Shaoxiong Ji Shirui Pan Erik Cambria Pekka Marttinen Philip S. Yu 181 1,940 0 02 Feb 2020