
Graph Transformations
Data Skeptic
Exploring Graphs in Machine Learning
This chapter examines the fundamental concept of graphs as entities and relationships, emphasizing their significant role in machine learning. It explores the limitations of traditional data representation and highlights the historical evolution of graph neural networks. Practical applications such as ego graphs and methods of feature engineering are discussed, illustrating the complexities of working with graph data.
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