KGBoost: A Classification-based Knowledge Base Completion Method with
Negative Sampling

KGBoost: A Classification-based Knowledge Base Completion Method with Negative Sampling

17 December 2021

Bin Wang

Papers citing "KGBoost: A Classification-based Knowledge Base Completion Method with Negative Sampling"

10 / 10 papers shown

Title
Domain and Range Aware Synthetic Negatives Generation for Knowledge Graph Embedding Models Alberto Bernardi Luca Costabello 72 0 0 22 Nov 2024
Time Sensitive Knowledge Editing through Efficient Finetuning Xiou Ge Ali Mousavi Edouard Grave Armand Joulin Kun Qian Benjamin Han Mostafa Arefiyan Yunyao Li KELM 38 7 0 06 Jun 2024
Negative Sampling in Knowledge Graph Representation Learning: A Review Tiroshan Madushanka R. Ichise 52 8 0 29 Feb 2024
Knowledge Graph Embedding with 3D Compound Geometric Transformations Xiou Ge Yun Cheng Wang Bin Wang C.-C. Jay Kuo 22 6 0 01 Apr 2023
An Overview on Language Models: Recent Developments and Outlook Chengwei Wei Yun Cheng Wang Bin Wang C.-C. Jay Kuo 30 42 0 10 Mar 2023
Green Learning: Introduction, Examples and Outlook C.-C. Jay Kuo A. Madni 78 71 0 03 Oct 2022
GreenKGC: A Lightweight Knowledge Graph Completion Method Yun Cheng Wang Xiou Ge Bin Wang C.-C. Jay Kuo 50 15 0 19 Aug 2022
CompoundE: Knowledge Graph Embedding with Translation, Rotation and Scaling Compound Operations Xiou Ge Yun Cheng Wang Bin Wang C.-C. Jay Kuo 13 11 0 12 Jul 2022
CORE: A Knowledge Graph Entity Type Prediction Method via Complex Space Regression and Embedding Xiou Ge Yun Cheng Wang Bin Wang C.-C. Jay Kuo 16 30 0 19 Dec 2021
A Survey on Knowledge Graphs: Representation, Acquisition and Applications Shaoxiong Ji Shirui Pan Min Zhang Pekka Marttinen Philip S. Yu 195 1,941 0 02 Feb 2020