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OpenBioLink: A benchmarking framework for large-scale biomedical link
  prediction

OpenBioLink: A benchmarking framework for large-scale biomedical link prediction

10 December 2019
Anna Breit
Simon Ott
Asan Agibetov
Matthias Samwald
    LM&MA
ArXivPDFHTML

Papers citing "OpenBioLink: A benchmarking framework for large-scale biomedical link prediction"

10 / 10 papers shown
Title
MARS: A neurosymbolic approach for interpretable drug discovery
MARS: A neurosymbolic approach for interpretable drug discovery
L. Delong
Yojana Gadiya
Paola Galdi
Jacques D. Fleuriot
Daniel Domingo-Fernández
236
2
0
02 Oct 2024
TWIG: Towards pre-hoc Hyperparameter Optimisation and Cross-Graph
  Generalisation via Simulated KGE Models
TWIG: Towards pre-hoc Hyperparameter Optimisation and Cross-Graph Generalisation via Simulated KGE Models
J. Sardina
John D. Kelleher
Declan O’Sullivan
33
0
0
08 Feb 2024
Clinical Trial Recommendations Using Semantics-Based Inductive Inference
  and Knowledge Graph Embeddings
Clinical Trial Recommendations Using Semantics-Based Inductive Inference and Knowledge Graph Embeddings
M. Devarakonda
Smita Mohanty
Raja Rao Sunkishala
Nag Mallampalli
Xiong Liu
29
4
0
27 Sep 2023
Knowledge-augmented Graph Machine Learning for Drug Discovery: A Survey
  from Precision to Interpretability
Knowledge-augmented Graph Machine Learning for Drug Discovery: A Survey from Precision to Interpretability
Zhiqiang Zhong
A. Barkova
Davide Mottin
29
8
0
16 Feb 2023
A Survey of Knowledge Graph Reasoning on Graph Types: Static, Dynamic,
  and Multimodal
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
36
110
0
12 Dec 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
30
19
0
13 Dec 2021
Prediction of Adverse Biological Effects of Chemicals Using Knowledge
  Graph Embeddings
Prediction of Adverse Biological Effects of Chemicals Using Knowledge Graph Embeddings
E. B. Myklebust
Ernesto Jiménez-Ruiz
Jiaoyan Chen
Raoul Wolf
K. Tollefsen
20
9
0
08 Dec 2021
Explainable Biomedical Recommendations via Reinforcement Learning
  Reasoning on Knowledge Graphs
Explainable Biomedical Recommendations via Reinforcement Learning Reasoning on Knowledge Graphs
G. Edwards
Sebastian Nilsson
Benedek Rozemberczki
Eliseo Papa
23
12
0
20 Nov 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
32
94
0
19 Feb 2021
Scalable and interpretable rule-based link prediction for large
  heterogeneous knowledge graphs
Scalable and interpretable rule-based link prediction for large heterogeneous knowledge graphs
Simon Ott
Laura Graf
Asan Agibetov
Christian Meilicke
Matthias Samwald
AI4CE
28
1
0
10 Dec 2020
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