Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2006.13365
Cited By
Bringing Light Into the Dark: A Large-scale Evaluation of Knowledge Graph Embedding Models Under a Unified Framework
23 June 2020
Mehdi Ali
M. Berrendorf
Charles Tapley Hoyt
Laurent Vermue
Mikhail Galkin
Sahand Sharifzadeh
Asja Fischer
Volker Tresp
Jens Lehmann
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Bringing Light Into the Dark: A Large-scale Evaluation of Knowledge Graph Embedding Models Under a Unified Framework"
27 / 27 papers shown
Title
Knowledge-augmented Pre-trained Language Models for Biomedical Relation Extraction
Mario Sanger
Ulf Leser
47
0
0
01 May 2025
Predicting Genetic Mutation from Whole Slide Images via Biomedical-Linguistic Knowledge Enhanced Multi-label Classification
Gexin Huang
Chenfei Wu
Mingjie Li
Xiaojun Chang
Ling-Hao Chen
Ying Sun
Shen Zhao
Xiaodan Liang
Liang Lin
MedIm
37
0
0
05 Jun 2024
From Latent to Lucid: Transforming Knowledge Graph Embeddings into Interpretable Structures with KGEPrisma
Christoph Wehner
Chrysa Iliopoulou
Ute Schmid
Tarek R. Besold
60
0
0
03 Jun 2024
Predicting Drug-Gene Relations via Analogy Tasks with Word Embeddings
Hiroaki Yamagiwa
Ryoma Hashimoto
Kiwamu Arakane
Ken Murakami
Shou Soeda
Momose Oyama
Mariko Okada
Hidetoshi Shimodaira
Hidetoshi Shimodaira
36
0
0
03 Jun 2024
TWIG: Towards pre-hoc Hyperparameter Optimisation and Cross-Graph Generalisation via Simulated KGE Models
J. Sardina
John D. Kelleher
Declan O’Sullivan
20
0
0
08 Feb 2024
Clinical Trial Recommendations Using Semantics-Based Inductive Inference and Knowledge Graph Embeddings
M. Devarakonda
Smita Mohanty
Raja Rao Sunkishala
Nag Mallampalli
Xiong Liu
26
4
0
27 Sep 2023
Fast Knowledge Graph Completion using Graphics Processing Units
Chun-Hee Lee
Dong-oh Kang
Hwa Jeon Song
17
1
0
22 Jul 2023
Knowledge Graphs Querying
Arijit Khan
34
16
0
23 May 2023
Visual Question Answering: A Survey on Techniques and Common Trends in Recent Literature
Ana Claudia Akemi Matsuki de Faria
Felype de Castro Bastos
Jose Victor Nogueira Alves da Silva
Vitor Lopes Fabris
Valeska Uchôa
Décio Gonccalves de Aguiar Neto
C. F. G. Santos
30
22
0
18 May 2023
Neural Graph Reasoning: Complex Logical Query Answering Meets Graph Databases
Hongyu Ren
Mikhail Galkin
Michael Cochez
Zhaocheng Zhu
J. Leskovec
NAI
GNN
41
35
0
26 Mar 2023
Treat Different Negatives Differently: Enriching Loss Functions with Domain and Range Constraints for Link Prediction
Nicolas Hubert
Pierre Monnin
Armelle Brun
D. Monticolo
17
4
0
01 Mar 2023
Can Persistent Homology provide an efficient alternative for Evaluation of Knowledge Graph Completion Methods?
Anson Bastos
Kuldeep Singh
Abhishek Nadgeri
Johannes Hoffart
Toyotaro Suzumura
Manish Singh
25
3
0
30 Jan 2023
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
A Survey of Knowledge Graph Reasoning on Graph Types: Static, Dynamic, and Multimodal
K. Liang
Lingyuan Meng
Meng Liu
Yue Liu
Wenxuan Tu
Siwei Wang
Sihang Zhou
Xinwang Liu
Fu Sun
LRM
26
108
0
12 Dec 2022
Leveraging Wikidata's edit history in knowledge graph refinement tasks
A. Hevia
Daniel Gayo-Avello
KELM
28
2
0
27 Oct 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
Re-thinking Knowledge Graph Completion Evaluation from an Information Retrieval Perspective
Ying Zhou
Xuanang Chen
Xianpei Han
Zheng Ye
Le Sun
25
11
0
09 May 2022
A Unified Framework for Rank-based Evaluation Metrics for Link Prediction in Knowledge Graphs
Charles Tapley Hoyt
M. Berrendorf
Mikhail Galkin
Volker Tresp
Benjamin M. Gyori
26
20
0
14 Mar 2022
An Open Challenge for Inductive Link Prediction on Knowledge Graphs
Mikhail Galkin
M. Berrendorf
Charles Tapley Hoyt
AI4CE
30
22
0
03 Mar 2022
Distributed non-negative RESCAL with Automatic Model Selection for Exascale Data
Manish Bhattarai
Namita Kharat
E. Skau
B. Nebgen
H. Djidjev
S. Rajopadhye
James P. Smith
Boian Alexandrov
28
10
0
19 Feb 2022
Prediction of Adverse Biological Effects of Chemicals Using Knowledge Graph Embeddings
E. B. Myklebust
Ernesto Jiménez-Ruiz
Jiaoyan Chen
Raoul Wolf
K. Tollefsen
16
9
0
08 Dec 2021
Updating Embeddings for Dynamic Knowledge Graphs
Christopher Wewer
Florian Lemmerich
Michael Cochez
KELM
14
6
0
22 Sep 2021
NodePiece: Compositional and Parameter-Efficient Representations of Large Knowledge Graphs
Mikhail Galkin
E. Denis
Jiapeng Wu
William L. Hamilton
OCL
25
86
0
23 Jun 2021
Query Embedding on Hyper-relational Knowledge Graphs
Dimitrios Alivanistos
M. Berrendorf
Michael Cochez
Mikhail Galkin
23
22
0
15 Jun 2021
A Review of Biomedical Datasets Relating to Drug Discovery: A Knowledge Graph Perspective
Stephen Bonner
Ian P Barrett
Cheng Ye
Rowan Swiers
O. Engkvist
A. Bender
Charles Tapley Hoyt
William L. Hamilton
32
94
0
19 Feb 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
Visual Translation Embedding Network for Visual Relation Detection
Hanwang Zhang
Zawlin Kyaw
Shih-Fu Chang
Tat-Seng Chua
ViT
154
560
0
27 Feb 2017
1