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Network Medicine Framework for Identifying Drug Repurposing
  Opportunities for COVID-19
v1v2 (latest)

Network Medicine Framework for Identifying Drug Repurposing Opportunities for COVID-19

15 April 2020
D. Gysi
Ì. Valle
Marinka Zitnik
Asher Ameli
Xiao Gan
Onur Varol
D. Ghiassian
R. Baron
Helia Sanchez
J. Loscalzo
Albert-László Barabási
ArXiv (abs)PDFHTML

Papers citing "Network Medicine Framework for Identifying Drug Repurposing Opportunities for COVID-19"

44 / 44 papers shown
Title
Drug Discovery SMILES-to-Pharmacokinetics Diffusion Models with Deep Molecular Understanding
Drug Discovery SMILES-to-Pharmacokinetics Diffusion Models with Deep Molecular Understanding
Bing Hu
Anita Layton
Helen Chen
MedIm
72
2
0
14 Aug 2024
Accelerating Complex Disease Treatment through Network Medicine and
  GenAI: A Case Study on Drug Repurposing for Breast Cancer
Accelerating Complex Disease Treatment through Network Medicine and GenAI: A Case Study on Drug Repurposing for Breast Cancer
A. Hamed
T. Fandy
40
3
0
18 Jun 2024
Graph Neural Networks on Quantum Computers
Graph Neural Networks on Quantum Computers
Yidong Liao
Xiao-Ming Zhang
Chris Ferrie
GNN
76
5
0
27 May 2024
Simplicity within biological complexity
Simplicity within biological complexity
Nataša Pržulj
N. Malod-Dognin
68
0
0
15 May 2024
Synthetic Data from Diffusion Models Improve Drug Discovery Prediction
Synthetic Data from Diffusion Models Improve Drug Discovery Prediction
Bing Hu
Ashish Saragadam
Anita Layton
Helen Chen
DiffM
61
1
0
06 May 2024
Graph Vertex Embeddings: Distance, Regularization and Community
  Detection
Graph Vertex Embeddings: Distance, Regularization and Community Detection
Radoslaw Nowak
Adam Malkowski
Daniel Cie'slak
Piotr Sokól
Pawel Wawrzyñski
49
0
0
09 Apr 2024
Graph Learning under Distribution Shifts: A Comprehensive Survey on
  Domain Adaptation, Out-of-distribution, and Continual Learning
Graph Learning under Distribution Shifts: A Comprehensive Survey on Domain Adaptation, Out-of-distribution, and Continual Learning
Man Wu
Xin-Yang Zheng
Qin Zhang
Xiao Shen
Xiong Luo
Xingquan Zhu
Shirui Pan
OOD
154
12
0
26 Feb 2024
Knowledge Graphs are not Created Equal: Exploring the Properties and
  Structure of Real KGs
Knowledge Graphs are not Created Equal: Exploring the Properties and Structure of Real KGs
Nedelina Teneva
Estevam R. Hruschka
66
1
0
10 Nov 2023
Modeling Path Importance for Effective Alzheimer's Disease Drug
  Repurposing
Modeling Path Importance for Effective Alzheimer's Disease Drug Repurposing
Shunian Xiang
Patrick J. Lawrence
Bo Peng
Chienwei Chiang
Do Kyoon Kim
Li Shen
Xia Ning
19
0
0
23 Oct 2023
Learning Invariant Molecular Representation in Latent Discrete Space
Learning Invariant Molecular Representation in Latent Discrete Space
Zhuang Xiang
Qiang Zhang
Keyan Ding
Yatao Bian
Xiao Wang
Jingsong Lv
Hongyang Chen
Huajun Chen
OOD
99
20
0
22 Oct 2023
Graph AI in Medicine
Graph AI in Medicine
Ruth Johnson
Michelle M. Li
Ayush Noori
Owen Queen
Marinka Zitnik
89
4
0
20 Oct 2023
Knowledge Graphs for the Life Sciences: Recent Developments, Challenges
  and Opportunities
Knowledge Graphs for the Life Sciences: Recent Developments, Challenges and Opportunities
Jiaoyan Chen
Hang Dong
Janna Hastings
Ernesto Jiménez-Ruiz
Vanessa Lopez
Pierre Monnin
Catia Pesquita
Petr vSkoda
Valentina A. M. Tamma
90
12
0
29 Sep 2023
BioBLP: A Modular Framework for Learning on Multimodal Biomedical
  Knowledge Graphs
BioBLP: A Modular Framework for Learning on Multimodal Biomedical Knowledge Graphs
Daniel Daza
Dimitrios Alivanistos
Payal Mitra
Thom Pijnenburg
Michael Cochez
Paul T. Groth
86
7
0
06 Jun 2023
Accelerating science with human-aware artificial intelligence
Accelerating science with human-aware artificial intelligence
J. Sourati
James A. Evans
61
47
0
02 Jun 2023
Stochastic Subgraph Neighborhood Pooling for Subgraph Classification
Stochastic Subgraph Neighborhood Pooling for Subgraph Classification
Shweta Ann Jacob
Paul Louis
Amirali Salehi-Abari
GNN
68
4
0
17 Apr 2023
GNNDelete: A General Strategy for Unlearning in Graph Neural Networks
GNNDelete: A General Strategy for Unlearning in Graph Neural Networks
Jiali Cheng
George Dasoulas
Huan He
Chirag Agarwal
Marinka Zitnik
MU
116
38
0
26 Feb 2023
Everything is Connected: Graph Neural Networks
Everything is Connected: Graph Neural Networks
Petar Velickovic
GNNAI4CE
109
190
0
19 Jan 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
52
16
0
30 Nov 2022
Evaluating Explainability for Graph Neural Networks
Evaluating Explainability for Graph Neural Networks
Chirag Agarwal
Owen Queen
Himabindu Lakkaraju
Marinka Zitnik
96
112
0
19 Aug 2022
Complementary artificial intelligence designed to augment human
  discovery
Complementary artificial intelligence designed to augment human discovery
J. Sourati
James A. Evans
HAI
48
1
0
02 Jul 2022
The maximum capability of a topological feature in link prediction
The maximum capability of a topological feature in link prediction
Yijun Ran
Xiao-ke Xu
Tao Jia
33
17
0
30 Jun 2022
Sampling Enclosing Subgraphs for Link Prediction
Sampling Enclosing Subgraphs for Link Prediction
Paul Louis
Shweta Ann Jacob
Amirali Salehi-Abari
GNN
99
15
0
23 Jun 2022
A Distant Supervision Corpus for Extracting Biomedical Relationships
  Between Chemicals, Diseases and Genes
A Distant Supervision Corpus for Extracting Biomedical Relationships Between Chemicals, Diseases and Genes
Dongxu Zhang
Sunil Mohan
M. Torkar
Andrew McCallum
62
11
0
13 Apr 2022
Deep learning for drug repurposing: methods, databases, and applications
Deep learning for drug repurposing: methods, databases, and applications
Xiao Pan
Xuan Lin
Dongsheng Cao
Xiangxiang Zeng
Philip S. Yu
Lifang He
R. Nussinov
F. Cheng
62
132
0
08 Feb 2022
DrugOOD: Out-of-Distribution (OOD) Dataset Curator and Benchmark for
  AI-aided Drug Discovery -- A Focus on Affinity Prediction Problems with Noise
  Annotations
DrugOOD: Out-of-Distribution (OOD) Dataset Curator and Benchmark for AI-aided Drug Discovery -- A Focus on Affinity Prediction Problems with Noise Annotations
Yuanfeng Ji
Lu Zhang
Jiaxiang Wu
Bing Wu
Long-Kai Huang
...
Ping Luo
Shuigeng Zhou
Junzhou Huang
Peilin Zhao
Yatao Bian
OOD
130
75
0
24 Jan 2022
Multi-task Joint Strategies of Self-supervised Representation Learning
  on Biomedical Networks for Drug Discovery
Multi-task Joint Strategies of Self-supervised Representation Learning on Biomedical Networks for Drug Discovery
Xiaoqi Wang
Yingjie Cheng
Yaning Yang
Yue Yu
Fei Li
Shaoliang Peng
44
42
0
12 Jan 2022
Automated Graph Machine Learning: Approaches, Libraries, Benchmarks and
  Directions
Automated Graph Machine Learning: Approaches, Libraries, Benchmarks and Directions
Xin Wang
Ziwei Zhang
Haoyang Li
Wenwu Zhu
134
2
0
04 Jan 2022
AI-Bind: Improving Binding Predictions for Novel Protein Targets and
  Ligands
AI-Bind: Improving Binding Predictions for Novel Protein Targets and Ligands
Ayan Chatterjee
Robin Walters
Zohair Shafi
O. Ahmed
Michael Sebek
D. Gysi
Rose Yu
Tina Eliassi-Rad
A. Barabási
G. Menichetti
AI4CE
44
4
0
25 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
72
12
0
20 Nov 2021
Heterogeneous network-based drug repurposing for COVID-19
Heterogeneous network-based drug repurposing for COVID-19
Shuting Jin
Xiangxiang Zeng
Wei Huang
Feng Xia
Changzhi Jiang
Xiangrong Liu
Shaoliang Peng
17
0
0
20 Jul 2021
Accelerating science with human versus alien artificial intelligences
Accelerating science with human versus alien artificial intelligences
J. Sourati
James A. Evans
105
6
0
12 Apr 2021
Automated Machine Learning on Graphs: A Survey
Automated Machine Learning on Graphs: A Survey
Ziwei Zhang
Xin Eric Wang
Wenwu Zhu
109
87
0
01 Mar 2021
Towards a Unified Framework for Fair and Stable Graph Representation
  Learning
Towards a Unified Framework for Fair and Stable Graph Representation Learning
Chirag Agarwal
Himabindu Lakkaraju
Marinka Zitnik
183
163
0
25 Feb 2021
Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug
  Discovery and Development
Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development
Kexin Huang
Tianfan Fu
Wenhao Gao
Yue Zhao
Yusuf Roohani
J. Leskovec
Connor W. Coley
Cao Xiao
Jimeng Sun
Marinka Zitnik
OODLM&MA
94
284
0
18 Feb 2021
Contrastive Learning Improves Critical Event Prediction in COVID-19
  Patients
Contrastive Learning Improves Critical Event Prediction in COVID-19 Patients
Tingyi Wanyan
Hossein Honarvar
S. Jaladanki
Chengxi Zang
Nidhi Naik
...
Marinka Zitnik
Ariful Azad
Fei Wang
Ying Ding
Benjamin S. Glicksberg
28
0
0
11 Jan 2021
Utilising Graph Machine Learning within Drug Discovery and Development
Utilising Graph Machine Learning within Drug Discovery and Development
Thomas Gaudelet
Ben Day
Arian R. Jamasb
Jyothish Soman
Cristian Regep
...
Jian Tang
D. Roblin
Tom L. Blundell
M. Bronstein
J. Taylor-King
AI4CE
97
38
0
09 Dec 2020
Dr-COVID: Graph Neural Networks for SARS-CoV-2 Drug Repurposing
Dr-COVID: Graph Neural Networks for SARS-CoV-2 Drug Repurposing
Siddhant Doshi
S. Chepuri
32
6
0
03 Dec 2020
Discovering Synergistic Drug Combinations for COVID with Biological
  Bottleneck Models
Discovering Synergistic Drug Combinations for COVID with Biological Bottleneck Models
Wengong Jin
Regina Barzilay
Tommi Jaakkola
26
4
0
09 Nov 2020
Drug Repurposing for COVID-19 via Knowledge Graph Completion
Drug Repurposing for COVID-19 via Knowledge Graph Completion
Rui Zhang
D. Hristovski
Dalton Schutte
Andrej Kastrin
M. Fiszman
H. Kilicoglu
25
4
0
19 Oct 2020
SumGNN: Multi-typed Drug Interaction Prediction via Efficient Knowledge
  Graph Summarization
SumGNN: Multi-typed Drug Interaction Prediction via Efficient Knowledge Graph Summarization
Yue Yu
Kexin Huang
Chao Zhang
Lucas Glass
Jimeng Sun
Cao Xiao
107
126
0
04 Oct 2020
Graph representation forecasting of patient's medical conditions:
  towards a digital twin
Graph representation forecasting of patient's medical conditions: towards a digital twin
Pietro Barbiero
Ramon Vinas Torné
Pietro Lio
AI4CE
56
12
0
17 Sep 2020
Permutation-equivariant and Proximity-aware Graph Neural Networks with
  Stochastic Message Passing
Permutation-equivariant and Proximity-aware Graph Neural Networks with Stochastic Message Passing
Ziwei Zhang
Chenhao Niu
Peng Cui
Jian Pei
Bo Zhang
Wenwu Zhu
68
2
0
05 Sep 2020
Artificial Intelligence in the Battle against Coronavirus (COVID-19): A
  Survey and Future Research Directions
Artificial Intelligence in the Battle against Coronavirus (COVID-19): A Survey and Future Research Directions
Thanh Thi Nguyen
Quoc Viet Hung Nguyen
Dung Nguyen
Samuel Yang
Peter W. Eklund
Thien Huynh-The
Thanh Tam Nguyen
Quoc-Viet Pham
Imran Razzak
Edbert B. Hsu
91
192
0
30 Jul 2020
Graph Neural Networks Including Sparse Interpretability
Graph Neural Networks Including Sparse Interpretability
Chris Lin
Gerald J. Sun
K. Bulusu
J. Dry
Marylens Hernandez
49
8
0
30 Jun 2020
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