DGL-KE: Training Knowledge Graph Embeddings at Scale

DGL-KE: Training Knowledge Graph Embeddings at Scale

18 April 2020

George Karypis

Papers citing "DGL-KE: Training Knowledge Graph Embeddings at Scale"

11 / 11 papers shown

Title
A Semantic Partitioning Method for Large-Scale Training of Knowledge Graph Embeddings Yuhe Bai 56 1 0 08 Jan 2025
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks Minjie Wang Da Zheng Zihao Ye Quan Gan Mufei Li ... Jiaqi Zhao Haotong Zhang Alex Smola Jinyang Li Zheng Zhang AI4CE GNN 247 748 0 03 Sep 2019
PyTorch-BigGraph: A Large-scale Graph Embedding System Adam Lerer Ledell Yu Wu Jiajun Shen Timothée Lacroix Luca Wehrstedt Abhijit Bose A. Peysakhovich GNN 45 384 0 28 Mar 2019
GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding Zhaocheng Zhu Shizhen Xu Meng Qu Jian Tang GNN 93 113 0 02 Mar 2019
RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space Zhiqing Sun Zhihong Deng Jian-Yun Nie Jian Tang 80 2,108 0 26 Feb 2019
Analysis of the Impact of Negative Sampling on Link Prediction in Knowledge Graphs Bhushan Kotnis Vivi Nastase 42 81 0 22 Aug 2017
Graph Embedding Techniques, Applications, and Performance: A Survey Palash Goyal Emilio Ferrara GNN AI4TS 89 1,724 0 08 May 2017
Complex Embeddings for Simple Link Prediction Théo Trouillon Johannes Welbl Sebastian Riedel Éric Gaussier Guillaume Bouchard BDL 81 2,955 0 20 Jun 2016
MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems Tianqi Chen Mu Li Yutian Li Min Lin Naiyan Wang Minjie Wang Tianjun Xiao Bing Xu Chiyuan Zhang Zheng Zhang 125 2,243 0 03 Dec 2015
Embedding Entities and Relations for Learning and Inference in Knowledge Bases Bishan Yang Wen-tau Yih Xiaodong He Jianfeng Gao Li Deng NAI 77 3,174 0 20 Dec 2014
HOGWILD!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent Feng Niu Benjamin Recht Christopher Ré Stephen J. Wright 142 2,272 0 28 Jun 2011