CORDIS Project
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The MALAGA project aims to develop a foundational theory for Graph Machine Learning, addressing limitations of current Graph Neural Networks. By improving understanding and performance across various applications, including biological and social networks, the project seeks to enhance the reliability of graph-based algo…
In many scientic domains, graphs are the objects of choice to represent structured data: from molecules to social networks, power grids, the internet, and so on.
The exploitation of graph data represents a major scientic and industrial challenge.
Graph Machine Learning(GML) is thus a fast-growing eld, with so-called Graph Neural Networks (GNN) at the forefront.
However, in sharp contrast with traditional ML, the eld of GML has somewhat jumped from early methods to deep learning, without the deca…
CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS
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