University of Edinburgh
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AstraZeneca Researchers Explain the Concept and Applications of the Shapley Value...
In many practical areas of machine learning, such as explainability, feature selection, data valuation, ensemble pruning, and federated learning, measuring relevance and attribution of...
Researchers From Edinburgh and Oxford Propose ‘Dist2Cycle’: A Simplicial Neural Network...
Background of GNNs and Simplicial Complexes
A graph is a type of data structure that consists of two components, vertices, and edges. Graph Neural Network...
Multi-Expert Learning Architecture (MELA), A Method To Combine Deep Neural Networks
Researchers at the University of Edinburgh and Zhejiang University have revealed a unique way to combine deep neural networks (DNNs) for creating a new...



