PrerequisiteKnowledges on mathematical physics equations, deep neural networks and the Python language.AbstractDifferential equations can describe various natural and social phenomena. The physics-informed neural networks (PINNs), as a deep learning framework, is a powerful and effective way in solving forward and inverse problems involving differential equations. The course will review the pub...
Graph neutral networks (GNN) are a prominent class of deep learning methods designed for tasks whose inputs are graphs. Many natural and social phenomena can be viewed as graphs that contain rich relation (link) information among elements (nodes). GNN focus on a unique non-Euclidean data structure for machine learning, performing tasks such as node classification, link prediction, and clusterin...
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