Graph Neural Networks for Complex System Modeling and Scientific Discovery
Keywords:
graph neural networks, complex system modeling, scientific discovery, material discoveryAbstract
Graph neural networks (GNNs) is turn out to be a powerful model for complex system characterised multi-scale interactions among diverse scientific domains. In this paper aims to explore the application of GNNs in physics, biology, and finance. This shows its efficiency in capturing relational structures and dynamic dependencies beyond traditional deep learning architectures.
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References
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