- This Latest Paper From Twitter and Oxford Research Shows That Feature Propagation is an Efficient and Scalable Approach for Handling Missing Features in Graph Machine Learning Applications https://www.marktechpost.com/2022/03/25/this-latest-paper-from-twitter-and-oxford-research-shows-that-feature-propagation-is-an-efficient-and-scalable-approach-for-handling-missing-features-in-graph-machine-learning-applications/ 2 comments artificial
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- Researchers at the University of Michigan Develop Zeus: A Machine Learning-Based Framework for Optimizing GPU Energy Consumption of Deep Neural Networks DNNs Training - MarkTechPost https://www.marktechpost.com/2022/08/18/researchers-at-the-university-of-michigan-develop-zeus-a-machine-learning-based-framework-for-optimizing-gpu-energy-consumption-of-deep-neural-networks-dnns-training/ 1 comment
- A Latest Machine Learning Research Brings A Novel Explanation For Performance Deterioration of Deeper Graph Neural Networks GNNs - MarkTechPost https://www.marktechpost.com/2022/08/26/a-latest-machine-learning-research-brings-a-novel-explanation-for-performance-deterioration-of-deeper-graph-neural-networks-gnns/ 0 comments
- Graph machine learning with missing node features https://blog.twitter.com/engineering/en_us/topics/insights/2022/graph-machine-learning-with-missing-node-features 0 comments