Graphs effectively model complex data relationships across various applications, making them essential for understanding interdependencies in our increasingly data-driven society.
Link prediction is critical for expanding networks and inferring missing information. It enhances user experience and aids in fraud detection across diverse fields.
Using the Twitch Social Network dataset illustrates practical applications of link prediction. The structure of this dataset simplifies the preprocessing and modeling process.
Graph Neural Networks uniquely address the challenges of graph data, allowing for deep learning-based analyses that traditional neural nets cannot effectively handle.
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