DGL-KE: Training Knowledge Graph Embeddings at Scale

18 April 2020

George Karypis

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

28 / 28 papers shown

Title
Deal: Distributed End-to-End GNN Inference for All Nodes Shiyang Chen Xiang Song Vasiloudis Theodore Hang Liu GNN 55 0 0 04 Mar 2025
Synthetic Multimodal Dataset for Empowering Safety and Well-being in Home Environments Takanori Ugai S. Egami Swe Nwe Nwe Htun Kouji Kozaki Takahiro Kawamura Ken Fukuda 26 3 0 26 Jan 2024
Knowledge Graphs Querying Arijit Khan 34 16 0 23 May 2023
Knowledge Graphs: Opportunities and Challenges Ciyuan Peng Feng Xia Mehdi Naseriparsa Francesco Osborne 27 242 0 24 Mar 2023
CS-lol: a Dataset of Viewer Comment with Scene in E-sports Live-streaming Junjie H. Xu Yu Nakano Lingrong Kong Kojiro Iizuka 21 6 0 17 Jan 2023
A Generalization of ViT/MLP-Mixer to Graphs Xiaoxin He Bryan Hooi T. Laurent Adam Perold Yann LeCun Xavier Bresson 49 88 0 27 Dec 2022
A Retrieve-and-Read Framework for Knowledge Graph Link Prediction Vardaan Pahuja Boshi Wang Hugo Latapie Jayanth Srinivasa Yu-Chuan Su 28 13 0 19 Dec 2022
Extreme Acceleration of Graph Neural Network-based Prediction Models for Quantum Chemistry Hatem Helal J. Firoz Jenna A. Bilbrey M. M. Krell Tom Murray Ang Li S. Xantheas Sutanay Choudhury GNN 49 5 0 25 Nov 2022
BESS: Balanced Entity Sampling and Sharing for Large-Scale Knowledge Graph Completion A. Cattaneo Daniel Justus Harry Mellor Douglas Orr Jérôme Maloberti Zichen Liu Thorin Farnsworth Andrew Fitzgibbon Bla.zej Banaszewski Carlo Luschi 30 4 0 22 Nov 2022
Start Small, Think Big: On Hyperparameter Optimization for Large-Scale Knowledge Graph Embeddings Adrian Kochsiek Fritz Niesel Rainer Gemulla 23 3 0 11 Jul 2022
A*Net: A Scalable Path-based Reasoning Approach for Knowledge Graphs Zhaocheng Zhu Xinyu Yuan Mikhail Galkin Sophie Xhonneux Ming Zhang Maxime Gazeau Jian Tang GNN LRM 31 36 0 07 Jun 2022
NeuralKG: An Open Source Library for Diverse Representation Learning of Knowledge Graphs Wen Zhang Xian-gan Chen Zhen Yao Mingyang Chen Yushan Zhu ... Yajing Xu Ningyu Zhang Zonggang Yuan Zhiyu Li Huajun Chen 32 12 0 25 Feb 2022
Mining On Alzheimer's Diseases Related Knowledge Graph to Identity Potential AD-related Semantic Triples for Drug Repurposing Yi Nian Xinyue Hu Rui Zhang Jingna Feng Jingcheng Du Fang Li Yong Chen Cui Tao 11 17 0 17 Feb 2022
MariusGNN: Resource-Efficient Out-of-Core Training of Graph Neural Networks R. Waleffe J. Mohoney Theodoros Rekatsinas Shivaram Venkataraman GNN 39 25 0 04 Feb 2022
Scaling Knowledge Graph Embedding Models Nasrullah Sheikh Xiao Qin B. Reinwald Chuan Lei 39 5 0 08 Jan 2022
Swift and Sure: Hardness-aware Contrastive Learning for Low-dimensional Knowledge Graph Embeddings Kai Wang Yu Liu Quan.Z Sheng 25 18 0 03 Jan 2022
Explainable Biomedical Recommendations via Reinforcement Learning Reasoning on Knowledge Graphs G. Edwards Sebastian Nilsson Benedek Rozemberczki Eliseo Papa 23 12 0 20 Nov 2021
Context-aware Entity Typing in Knowledge Graphs Wei-Fan Pan Wei Wei Xian-Ling Mao 45 22 0 16 Sep 2021
Distantly Supervised Relation Extraction with Sentence Reconstruction and Knowledge Base Priors Fenia Christopoulou Makoto Miwa Sophia Ananiadou 45 20 0 16 Apr 2021
Scalable and interpretable rule-based link prediction for large heterogeneous knowledge graphs Simon Ott Laura Graf Asan Agibetov Christian Meilicke Matthias Samwald AI4CE 25 1 0 10 Dec 2020
TeX-Graph: Coupled tensor-matrix knowledge-graph embedding for COVID-19 drug repurposing Charilaos I. Kanatsoulis N. Sidiropoulos 39 8 0 22 Oct 2020
DistDGL: Distributed Graph Neural Network Training for Billion-Scale Graphs Da Zheng Chao Ma Minjie Wang Jinjing Zhou Qidong Su Xiang Song Quan Gan Zheng-Wei Zhang George Karypis FedML GNN 27 243 0 11 Oct 2020
CoLAKE: Contextualized Language and Knowledge Embedding Tianxiang Sun Yunfan Shao Xipeng Qiu Qipeng Guo Yaru Hu Xuanjing Huang Zheng-Wei Zhang KELM 36 181 0 01 Oct 2020
COVID-19 Knowledge Graph: Accelerating Information Retrieval and Discovery for Scientific Literature Colby Wise V. Ioannidis Miguel Calvo Rebollar Xiang Song George D. Price Ninad Kulkarni Ryan Brand Parminder Bhatia George Karypis 16 68 0 24 Jul 2020
Few-shot link prediction via graph neural networks for Covid-19 drug-repurposing V. Ioannidis Da Zheng George Karypis 13 50 0 20 Jul 2020
Repurpose Open Data to Discover Therapeutics for COVID-19 using Deep Learning Xiangxiang Zeng Xiang Song Tengfei Ma Xiaoqing Pan Yadi Zhou Y. Hou Zheng-Wei Zhang George Karypis F. Cheng 20 194 0 21 May 2020
Open Graph Benchmark: Datasets for Machine Learning on Graphs Weihua Hu Matthias Fey Marinka Zitnik Yuxiao Dong Hongyu Ren Bowen Liu Michele Catasta J. Leskovec 61 2,663 0 02 May 2020
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks Minjie Wang Da Zheng Zihao Ye Quan Gan Mufei Li ... Jun Zhao Haotong Zhang Alex Smola Jinyang Li Zheng-Wei Zhang AI4CE GNN 206 747 0 03 Sep 2019