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2004.08532
Cited By
DGL-KE: Training Knowledge Graph Embeddings at Scale
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2020
18 April 2020
Da Zheng
Xiang Song
Chao Ma
Zeyuan Tan
Zihao Ye
Jin Dong
Hao Xiong
Zheng Zhang
George Karypis
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Papers citing
"DGL-KE: Training Knowledge Graph Embeddings at Scale"
50 / 77 papers shown
From Knowledge to Treatment: Large Language Model Assisted Biomedical Concept Representation for Drug Repurposing
Chengrui Xiang
Tengfei Ma
Xiangzheng Fu
Yiping Liu
Bosheng Song
Xiangxiang Zeng
123
1
0
14 Oct 2025
Enhancing PyKEEN with Multiple Negative Sampling Solutions for Knowledge Graph Embedding Models
Claudia d’Amato
Ivan Diliso
N. Fanizzi
Zafar Saeed
186
1
0
07 Aug 2025
Scalable Feature Learning on Huge Knowledge Graphs for Downstream Machine Learning
Félix Lefebvre
Gaël Varoquaux
188
0
0
01 Jul 2025
A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects
Guanglin Niu
Bo Li
Yangguang Lin
LRM
337
2
0
27 Apr 2025
On Large-scale Evaluation of Embedding Models for Knowledge Graph Completion
Nasim Shirvani-Mahdavi
F. Akrami
Chengkai Li
351
3
0
11 Apr 2025
MLKV: Efficiently Scaling up Large Embedding Model Training with Disk-based Key-Value Storage
IEEE International Conference on Data Engineering (ICDE), 2025
Yongjun He
R. Waleffe
Zhichao Han
Johnu George
Binhang Yuan
...
Yinan Shan
Yang Zhao
Debojyoti Dutta
Theodoros Rekatsinas
Ce Zhang
AIFin
294
0
0
02 Apr 2025
Deal: Distributed End-to-End GNN Inference for All Nodes
Shiyang Chen
Xiang Song
Vasiloudis Theodore
Hang Liu
GNN
319
2
0
04 Mar 2025
Corporate Fraud Detection in Rich-yet-Noisy Financial Graph
Shiqi Wang
Zhibo Zhang
Libing Fang
Cam-Tu Nguyen
Wenzhon Li
523
0
0
26 Feb 2025
Armada: Memory-Efficient Distributed Training of Large-Scale Graph Neural Networks
R. Waleffe
Devesh Sarda
J. Mohoney
Emmanouil-Vasileios Vlatakis-Gkaragkounis
Theodoros Rekatsinas
Shivaram Venkataraman
GNN
362
0
0
25 Feb 2025
Explainable Lane Change Prediction for Near-Crash Scenarios Using Knowledge Graph Embeddings and Retrieval Augmented Generation
M. Manzour
Augusto Luis Ballardini
R. Izquierdo
Miguel Ángel Sotelo
190
2
0
20 Jan 2025
A Semantic Partitioning Method for Large-Scale Training of Knowledge Graph Embeddings
The Web Conference (WWW), 2023
Yuhe Bai
260
2
0
08 Jan 2025
Can Graph Neural Networks Expose Training Data Properties? An Efficient Risk Assessment Approach
Neural Information Processing Systems (NeurIPS), 2024
Hanyang Yuan
Jiarong Xu
Renhong Huang
Mingli Song
Chunping Wang
Yang Yang
AAML
271
3
0
06 Nov 2024
Leveraging User-Generated Reviews for Recommender Systems with Dynamic Headers
European Conference on Artificial Intelligence (ECAI), 2024
Shanu Vashishtha
Abhay Kumar
Lalitesh Morishetti
Gabriele Tolomei
Kannan Achan
163
0
0
11 Sep 2024
Heta: Distributed Training of Heterogeneous Graph Neural Networks
Proceedings of the VLDB Endowment (PVLDB), 2024
Yuchen Zhong
Junwei Su
Chuan Wu
Minjie Wang
344
2
0
19 Aug 2024
GraphStorm: all-in-one graph machine learning framework for industry applications
Knowledge Discovery and Data Mining (KDD), 2024
Da Zheng
Xiang Song
Qi Zhu
Jian Zhang
Theodore Vasiloudis
...
Qingjun Cui
Huzefa Rangwala
Belinda Zeng
Christos Faloutsos
George Karypis
AI4TS
AI4CE
VLM
266
8
0
10 Jun 2024
LinkLogic: A New Method and Benchmark for Explainable Knowledge Graph Predictions
Niraj Kumar Singh
G. Polleti
Saee Paliwal
Rachel Hodos-Nkhereanye
250
0
0
02 Jun 2024
HDReason: Algorithm-Hardware Codesign for Hyperdimensional Knowledge Graph Reasoning
Hanning Chen
Yang Ni
Ali Zakeri
Zhuowen Zou
Sanggeon Yun
Fei Wen
Behnam Khaleghi
Narayan Srinivasa
Hugo Latapie
Mohsen Imani
238
8
0
09 Mar 2024
BloomGML: Graph Machine Learning through the Lens of Bilevel Optimization
International Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Amber Yijia Zheng
Tong He
Yixuan Qiu
Minjie Wang
David Wipf
350
3
0
07 Mar 2024
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
269
3
0
26 Jan 2024
Edge-Enabled Anomaly Detection and Information Completion for Social Network Knowledge Graphs
Fan Lu
Quan Qi
Huaibin Qin
234
3
0
13 Jan 2024
Vehicle Lane Change Prediction based on Knowledge Graph Embeddings and Bayesian Inference
M. Manzour
Augusto Luis Ballardini
R. Izquierdo
Miguel Ángel Sotelo
160
8
0
11 Dec 2023
Universal Knowledge Graph Embeddings
The Web Conference (WWW), 2023
N'Dah Jean Kouagou
Caglar Demir
Hamada M. Zahera
Adrian Wilke
Stefan Heindorf
Jiayi Li
A. N. Ngomo
297
4
0
23 Oct 2023
KGrEaT: A Framework to Evaluate Knowledge Graphs via Downstream Tasks
International Conference on Information and Knowledge Management (CIKM), 2023
Nicolas Heist
S. Hertling
Heiko Paulheim
295
10
0
21 Aug 2023
Predicting Drug-Drug Interactions Using Knowledge Graphs
Lizzy Farrugia
L. Azzopardi
Jeremy Debattista
C. Abela
167
2
0
08 Aug 2023
Literal-Aware Knowledge Graph Embedding for Welding Quality Monitoring: A Bosch Case
International Workshop on the Semantic Web (SW), 2023
Zhipeng Tan
Baifan Zhou
Zhuoxun Zheng
Ognjen Savkovic
Ziqi Huang
Irlán Grangel-González
A. Soylu
Evgeny Kharlamov
269
5
0
02 Aug 2023
Tango: rethinking quantization for graph neural network training on GPUs
International Conference for High Performance Computing, Networking, Storage and Analysis (SC), 2023
Shiyang Chen
Da Zheng
Caiwen Ding
Chengying Huan
Yuede Ji
Hang Liu
GNN
MQ
198
9
0
02 Aug 2023
Auto-Differentiation of Relational Computations for Very Large Scale Machine Learning
International Conference on Machine Learning (ICML), 2023
Yu-Shuen Tang
Zhimin Ding
Dimitrije Jankov
Binhang Yuan
Daniel Bourgeois
C. Jermaine
BDL
436
7
0
31 May 2023
Knowledge Graphs Querying
SIGMOD record (SIGMOD Record), 2023
Arijit Khan
203
22
0
23 May 2023
Friendly Neighbors: Contextualized Sequence-to-Sequence Link Prediction
Workshop on Representation Learning for NLP (RepL4NLP), 2023
Adrian Kochsiek
Apoorv Saxena
Inderjeet Nair
Rainer Gemulla
309
17
0
22 May 2023
Growing and Serving Large Open-domain Knowledge Graphs
Ihab F. Ilyas
JP Lacerda
Yunyao Li
U. F. Minhas
Ali Mousavi
Jeffrey Pound
Theodoros Rekatsinas
C. Sumanth
279
10
0
16 May 2023
NeuralKG-ind: A Python Library for Inductive Knowledge Graph Representation Learning
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023
Wen Zhang
Zhen Yao
Yin Hua
Zhiwei Huang
Hua-zeng Chen
AI4CE
280
2
0
28 Apr 2023
Knowledge Graphs: Opportunities and Challenges
Artificial Intelligence Review (AIR), 2023
Ciyuan Peng
Xiwei Xu
Mehdi Naseriparsa
Francesco Osborne
285
508
0
24 Mar 2023
TwERC: High Performance Ensembled Candidate Generation for Ads Recommendation at Twitter
Vanessa Cai
Pradeep Prabakar
Manuel Serrano Rebuelta
Lucas Rosen
Federico Monti
...
Tomo Lazovich
J. Raj
Y. Shrinivasan
Hao Li
Thomas Markovich
464
2
0
27 Feb 2023
PubGraph: A Large-Scale Scientific Knowledge Graph
Kian Ahrabian
Xinwei Du
Richard Delwin Myloth
Arun Baalaaji Sankar Ananthan
Jay Pujara
246
6
0
04 Feb 2023
CS-lol: a Dataset of Viewer Comment with Scene in E-sports Live-streaming
Conference on Human Information Interaction and Retrieval (CHIIR), 2023
Junjie H. Xu
Yu Nakano
Lingrong Kong
Kojiro Iizuka
140
9
0
17 Jan 2023
A Generalization of ViT/MLP-Mixer to Graphs
International Conference on Machine Learning (ICML), 2022
Xiaoxin He
Bryan Hooi
T. Laurent
Adam Perold
Yann LeCun
Xavier Bresson
331
135
0
27 Dec 2022
A Retrieve-and-Read Framework for Knowledge Graph Link Prediction
International Conference on Information and Knowledge Management (CIKM), 2022
Vardaan Pahuja
Boshi Wang
Hugo Latapie
Jayanth Srinivasa
Yu-Chuan Su
403
15
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
271
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
Ziqiang Liu
Thorin Farnsworth
Andrew Fitzgibbon
Bla.zej Banaszewski
Carlo Luschi
147
5
0
22 Nov 2022
Entity-Assisted Language Models for Identifying Check-worthy Sentences
Ting-Han Su
Craig Macdonald
I. Ounis
150
0
0
19 Nov 2022
Walk-and-Relate: A Random-Walk-based Algorithm for Representation Learning on Sparse Knowledge Graphs
Saurav Manchanda
290
2
0
19 Sep 2022
μ
KG
μ\text{KG}
μ
KG
: A Library for Multi-source Knowledge Graph Embeddings and Applications
International Workshop on the Semantic Web (SW), 2022
Xin Luo
Zequn Sun
Wei Hu
220
8
0
23 Jul 2022
The DLCC Node Classification Benchmark for Analyzing Knowledge Graph Embeddings
International Workshop on the Semantic Web (SW), 2022
Jan Portisch
Heiko Paulheim
291
10
0
13 Jul 2022
Start Small, Think Big: On Hyperparameter Optimization for Large-Scale Knowledge Graph Embeddings
Adrian Kochsiek
Fritz Niesel
Rainer Gemulla
228
5
0
11 Jul 2022
Assessing the Effects of Hyperparameters on Knowledge Graph Embedding Quality
Journal of Big Data (J Big Data), 2022
Oliver Lloyd
Yi Liu
T. Gaunt
404
11
0
01 Jul 2022
Efficient and effective training of language and graph neural network models
V. Ioannidis
Xiang Song
Da Zheng
Houyu Zhang
Jun Ma
Yi Xu
Belinda Zeng
Trishul Chilimbi
George Karypis
GNN
190
12
0
22 Jun 2022
A*Net: A Scalable Path-based Reasoning Approach for Knowledge Graphs
Neural Information Processing Systems (NeurIPS), 2022
Zhaocheng Zhu
Xinyu Yuan
Mikhail Galkin
Sophie Xhonneux
Ming Zhang
Maxime Gazeau
Jian Tang
GNN
LRM
478
78
0
07 Jun 2022
DELATOR: Money Laundering Detection via Multi-Task Learning on Large Transaction Graphs
Henrique S. Assumpção
Fabrício Souza
Leandro Lacerda Campos
Vinícius T. de Castro Pires
Paulo M. Laurentys de Almeida
Fabricio Murai
294
6
0
20 May 2022
Embodied-Symbolic Contrastive Graph Self-Supervised Learning for Molecular Graphs
Daniel T. Chang
SSL
159
0
0
13 May 2022
PIE: a Parameter and Inference Efficient Solution for Large Scale Knowledge Graph Embedding Reasoning
Linlin Chao
Xiexiong Lin
Taifeng Wang
Wei Chu
446
7
0
29 Apr 2022
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