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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

19 February 2021
Stephen Bonner
Ian P Barrett
Cheng Ye
Rowan Swiers
O. Engkvist
A. Bender
Charles Tapley Hoyt
William L. Hamilton
ArXivPDFHTML

Papers citing "A Review of Biomedical Datasets Relating to Drug Discovery: A Knowledge Graph Perspective"

29 / 29 papers shown
Title
KG4Diagnosis: A Hierarchical Multi-Agent LLM Framework with Knowledge Graph Enhancement for Medical Diagnosis
KG4Diagnosis: A Hierarchical Multi-Agent LLM Framework with Knowledge Graph Enhancement for Medical Diagnosis
Kaiwen Zuo
Yirui Jiang
Fan Mo
Pietro Lio
88
6
0
22 Dec 2024
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
A. Cattaneo
Stephen Bonner
Thomas Martynec
Carlo Luschi
Ian P Barrett
Daniel Justus
35
0
0
06 Sep 2024
Improving rule mining via embedding-based link prediction
Improving rule mining via embedding-based link prediction
N'Dah Jean Kouagou
Arif Yilmaz
Michel Dumontier
A. N. Ngomo
AI4CE
28
0
0
14 Jun 2024
MOTI$\mathcal{VE}$: A Drug-Target Interaction Graph For Inductive Link
  Prediction
MOTIVE\mathcal{VE}VE: A Drug-Target Interaction Graph For Inductive Link Prediction
John Arevalo
Ellen Su
Anne E Carpenter
Shantanu Singh
27
2
0
12 Jun 2024
LinkLogic: A New Method and Benchmark for Explainable Knowledge Graph
  Predictions
LinkLogic: A New Method and Benchmark for Explainable Knowledge Graph Predictions
Niraj Kumar Singh
G. Polleti
Saee Paliwal
Rachel Hodos-Nkhereanye
37
0
0
02 Jun 2024
Accurate and interpretable drug-drug interaction prediction enabled by
  knowledge subgraph learning
Accurate and interpretable drug-drug interaction prediction enabled by knowledge subgraph learning
Yaqing Wang
Zaifei Yang
Quanming Yao
19
21
0
25 Nov 2023
Natural Language Processing for Drug Discovery Knowledge Graphs:
  promises and pitfalls
Natural Language Processing for Drug Discovery Knowledge Graphs: promises and pitfalls
J. C. G. Jeynes
Tim James
Matthew Corney
15
2
0
24 Oct 2023
Knowledge Engineering using Large Language Models
Knowledge Engineering using Large Language Models
Bradley Paul Allen
Lise Stork
Paul T. Groth
15
24
0
01 Oct 2023
Body Fat Estimation from Surface Meshes using Graph Neural Networks
Body Fat Estimation from Surface Meshes using Graph Neural Networks
Tamara T. Mueller
Si-Ping Zhou
Sophie Starck
F. Jungmann
Alexander Ziller
Orhun Aksoy
Danylo Movchan
R. Braren
Georgios Kaissis
Daniel Rueckert
3DH
26
3
0
13 Jul 2023
Comprehensive evaluation of deep and graph learning on drug-drug
  interactions prediction
Comprehensive evaluation of deep and graph learning on drug-drug interactions prediction
Xuan Lin
Lichang Dai
Yafang Zhou
Zunpeng Yu
Wen Zhang
...
Li Zeng
Hao-Heng Chen
Bosheng Song
Philip S. Yu
Xiangxiang Zeng
GNN
21
56
0
08 Jun 2023
Causal Intervention for Measuring Confidence in Drug-Target Interaction
  Prediction
Causal Intervention for Measuring Confidence in Drug-Target Interaction Prediction
Wenting Ye
Chen Li
Yang Xie
Wen Zhang
Hong-Yu Zhang
Bowen Wang
Debo Cheng
Zaiwen Feng
11
0
0
31 May 2023
Analysing Biomedical Knowledge Graphs using Prime Adjacency Matrices
Analysing Biomedical Knowledge Graphs using Prime Adjacency Matrices
K. Bougiatiotis
G. Paliouras
25
1
0
17 May 2023
Graph Representation Learning for Interactive Biomolecule Systems
Graph Representation Learning for Interactive Biomolecule Systems
Xinye Xiong
Bingxin Zhou
Yu Guang Wang
AI4CE
GNN
33
0
0
05 Apr 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
22
8
0
16 Feb 2023
KGML-xDTD: A Knowledge Graph-based Machine Learning Framework for Drug
  Treatment Prediction and Mechanism Description
KGML-xDTD: A Knowledge Graph-based Machine Learning Framework for Drug Treatment Prediction and Mechanism Description
Chunyu Ma
Zhihan Zhou
Han Liu
D. Koslicki
13
16
0
30 Nov 2022
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
Z. Liu
Thorin Farnsworth
Andrew Fitzgibbon
Bla.zej Banaszewski
Carlo Luschi
14
4
0
22 Nov 2022
Review of Natural Language Processing in Pharmacology
Review of Natural Language Processing in Pharmacology
D. Trajanov
Vangel Trajkovski
Makedonka Dimitrieva
Jovana Dobreva
Milos Jovanovik
Matej Klemen
Alevs vZagar
Marko Robnik-vSikonja
LM&MA
23
7
0
22 Aug 2022
OntoMerger: An Ontology Integration Library for Deduplicating and
  Connecting Knowledge Graph Nodes
OntoMerger: An Ontology Integration Library for Deduplicating and Connecting Knowledge Graph Nodes
D. Geleta
A. Nikolov
Mark ODonoghue
Benedek Rozemberczki
A. Gogleva
Valentina Tamma
Terry R. Payne
17
4
0
05 Jun 2022
TigerLily: Finding drug interactions in silico with the Graph
TigerLily: Finding drug interactions in silico with the Graph
Benedek Rozemberczki
GNN
21
0
0
18 Apr 2022
A Unified Framework for Rank-based Evaluation Metrics for Link
  Prediction in Knowledge Graphs
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
Mining On Alzheimer's Diseases Related Knowledge Graph to Identity
  Potential AD-related Semantic Triples for Drug Repurposing
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
16
0
17 Feb 2022
TrialGraph: Machine Intelligence Enabled Insight from Graph Modelling of
  Clinical Trials
TrialGraph: Machine Intelligence Enabled Insight from Graph Modelling of Clinical Trials
Christopher Yacoumatos
Stefano Bragaglia
Anshul Kanakia
Nils Svangård
J. Mangion
Claire R. Donoghue
J. Weatherall
F. Khan
K. Shameer
44
3
0
15 Dec 2021
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
O. Engkvist
Jian Tang
Ian P Barrett
17
19
0
13 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
21
12
0
20 Nov 2021
Neural Class Expression Synthesis
Neural Class Expression Synthesis
N'Dah Jean Kouagou
Stefan Heindorf
Caglar Demir
A. N. Ngomo
11
8
0
16 Nov 2021
Scientific Language Models for Biomedical Knowledge Base Completion: An
  Empirical Study
Scientific Language Models for Biomedical Knowledge Base Completion: An Empirical Study
Rahul Nadkarni
David Wadden
Iz Beltagy
Noah A. Smith
Hannaneh Hajishirzi
Tom Hope
35
27
0
17 Jun 2021
A Knowledge Graph-Enhanced Tensor Factorisation Model for Discovering
  Drug Targets
A Knowledge Graph-Enhanced Tensor Factorisation Model for Discovering Drug Targets
Cheng Ye
Rowan Swiers
Stephen Bonner
Ian P Barrett
27
12
0
20 May 2021
Understanding the Performance of Knowledge Graph Embeddings in Drug
  Discovery
Understanding the Performance of Knowledge Graph Embeddings in Drug Discovery
Stephen Bonner
Ian P Barrett
Cheng Ye
Rowan Swiers
O. Engkvist
Charles Tapley Hoyt
William L. Hamilton
52
51
0
17 May 2021
Heterogeneous Graph Transformer
Heterogeneous Graph Transformer
Ziniu Hu
Yuxiao Dong
Kuansan Wang
Yizhou Sun
185
1,169
0
03 Mar 2020
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