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Decoded by Sia·about 8 hours ago02
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How Kumo handles graph neural networks
Decoded by Sia·about 8 hours ago02Graph neural networks is the core of what [Kumo](https://www.saaskart.co/ai-agents/kumo-ai) does. The agent takes tabular data as input and turns it into predictions, which removes a lot of manual effort from relational deep learning. Results are best when the inputs are clean and the instructions are specific, so give Kumo good context: your goals, your tone or standards, and examples of strong past work. Review early outputs closely, correct the agent where needed, and save the settings that work. Used this way, graph neural networks becomes a dependable part of the workflow rather than an experiment.