Graphs vs. Tables

Computers are becoming increasingly powerful, allowing for more complex data analysis. While tabular data science often relies on feature engineering, graph machine learning introduces unique structures like ego graphs to highlight vital relationships. The evolution of graph neural networks, rooted in research from the late 90s, has transformed the landscape, enabling more sophisticated learning on graph data.