Utilizing graph machine learning within drug discovery and development

Gaudelet, Thomas, Day, Ben, Jamasb, Arian R, Soman, Jyothish, Regep, Cristian, Liu, Gertrude, Hayter, Jeremy B R, Vickers, Richard +6 more·2021·Briefings in Bioinformatics

Cited by (313)

Items 101–200 of 313

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  8. Drug Properties Prediction Based on Deep Learning
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  10. mGNN: Generalizing the Graph Neural Networks to the Multilayer Case
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  12. Diffusion Models and Generative Artificial Intelligence: Frameworks, Applications and Challenges
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  20. Improving link prediction in social networks using local and global features: a clustering-based approach
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  21. Artificial intelligence systems for the design of magic shotgun drugs
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  29. Optimal Transport Based Graph Kernels for Drug Property Prediction
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  37. Enhancing Model Learning and Interpretation using Multiple Molecular Graph Representations for Compound Property and Activity Prediction
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  38. On Graph Neural Network Ensembles for Large-Scale Molecular Property Prediction
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  43. Graph-Assisted Bayesian Node Classifiers
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  44. RETRACTED ARTICLE: Drug discovery through Covid-19 genome sequencing with siamese graph convolutional neural network
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    Zhongxi Fang, Jianming Huang, Xun Jia Su, Hiroyuki Kasai · 2023 · Proceedings of the AAAI Conference on Artificial Intelligence
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  62. Geographic Graph Network for Robust Inversion of Particulate Matters
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  63. AI-Driven Insights: Paving the Path to Next-Generation Therapeutics
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  77. An In-depth Summary of Recent Artificial Intelligence Applications in Drug Design
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