Node Classification

Node Classification in Knowledge Graphs

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Node Classification in Knowledge Graphs

Source: AI Data Research Society This article is about 2500 words, and it is recommended to read for 7 minutes. This article introduces node classification. In this article, we will discuss node classification, such as determining whether a node is fraudulent. For general structured data classification tasks, we train models using data features and labels … Read more

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