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The Role of Graph Topology in the Performance of Biomedical Knowledge
  Graph Completion Models

The Role of Graph Topology in the Performance of Biomedical Knowledge Graph Completion Models

6 September 2024
A. Cattaneo
Stephen Bonner
Thomas Martynec
Carlo Luschi
Ian P Barrett
Daniel Justus
ArXivPDFHTML

Papers citing "The Role of Graph Topology in the Performance of Biomedical Knowledge Graph Completion Models"

8 / 8 papers shown
Title
BESS: Balanced Entity Sampling and Sharing for Large-Scale Knowledge
  Graph Completion
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
41
4
0
22 Nov 2022
TripleRE: Knowledge Graph Embeddings via Tripled Relation Vectors
TripleRE: Knowledge Graph Embeddings via Tripled Relation Vectors
Long Yu
Zhi-Ping Luo
Huanyong Liu
Deng Lin
Hongzhu Li
Yafeng Deng
44
17
0
17 Sep 2022
Implications of Topological Imbalance for Representation Learning on
  Biomedical Knowledge Graphs
Implications of Topological Imbalance for Representation Learning on Biomedical Knowledge Graphs
Stephen Bonner
Ufuk Kirik
Ola Engkvist
Jian Tang
Ian P Barrett
52
21
0
13 Dec 2021
A Review of Biomedical Datasets Relating to Drug Discovery: A Knowledge
  Graph Perspective
A Review of Biomedical Datasets Relating to Drug Discovery: A Knowledge Graph Perspective
Stephen Bonner
Ian P Barrett
Cheng Ye
Rowan Swiers
Ola Engkvist
A. Bender
Charles Tapley Hoyt
William L. Hamilton
54
95
0
19 Feb 2021
Bringing Light Into the Dark: A Large-scale Evaluation of Knowledge
  Graph Embedding Models Under a Unified Framework
Bringing Light Into the Dark: A Large-scale Evaluation of Knowledge Graph Embedding Models Under a Unified Framework
Mehdi Ali
M. Berrendorf
Charles Tapley Hoyt
Laurent Vermue
Mikhail Galkin
Sahand Sharifzadeh
Asja Fischer
Volker Tresp
Jens Lehmann
46
124
0
23 Jun 2020
Open Graph Benchmark: Datasets for Machine Learning on Graphs
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
303
2,730
0
02 May 2020
OpenBioLink: A benchmarking framework for large-scale biomedical link
  prediction
OpenBioLink: A benchmarking framework for large-scale biomedical link prediction
Anna Breit
Simon Ott
Asan Agibetov
Matthias Samwald
LM&MA
76
55
0
10 Dec 2019
Embedding Entities and Relations for Learning and Inference in Knowledge
  Bases
Embedding Entities and Relations for Learning and Inference in Knowledge Bases
Bishan Yang
Wen-tau Yih
Xiaodong He
Jianfeng Gao
Li Deng
NAI
93
3,194
0
20 Dec 2014
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