What are the applications of graph-based machine learning?
Graph-based machine learning is used in various fields such as social network analysis, recommendation systems, and bioinformatics.
Can you give me an example of how it's used in social networks?
Sure! In social networks, graph-based ML can identify communities and influence patterns by analyzing user connections.
What about its use in recommendation systems?
In recommendation systems, it helps in understanding user-item relationships, improving suggestions based on similar users or items.
Are there any challenges associated with graph-based machine learning?
Yes, challenges include scalability with large graphs, handling dynamic data, and ensuring the quality of graph representations.
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