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Summary of Mathematical Principles Behind Graph Neural Networks

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Summary of Mathematical Principles Behind Graph Neural Networks

This article provides a detailed overview and explanation of popular Graph Neural Networks (GNNs) and their mathematical nuances. The underlying idea of graph deep learning is to learn the structural and spatial features of graphs with nodes and edges, where these nodes and edges represent entities and their interactions. >>> Original Link: https://rish-16.github.io/posts/gnn-math/ Graph Deep … Read more

Differences and Connections Between Self-Attention Mechanism and Fully Connected Graph Convolutional Networks (GCN)

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Differences and Connections Between Self-Attention Mechanism and Fully Connected Graph Convolutional Networks (GCN)

Click on the "Xiaobai Learns Vision" above, select "Star" or "Pin" Heavy content delivered first This article is compiled from Zhihu Q&A, used for academic sharing only, copyright belongs to the author. If there is any infringement, please contact the backend for deletion. Viewpoint One Author | Guohao Li https://www.zhihu.com/question/366088445/answer/1023290162 Let’s talk about my understanding. … Read more