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Graph Contrastive Learning

A self-supervised approach to learning graph representations by training a model to recognise that augmented views of the same graph are similar, without requiring labelled data.

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Comparing AI Tools: A Developer's Perspective on Codex and Claude

A developer shared their experiences using Codex and Claude for coding tasks this week. They noticed that Codex generated simpler, cleaner Ruby code with fewer comments compared to Claude. Codex also …· 2w ago · 1 min brief

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The End of AI Content: Why The Internet's Days As A Human-Free Zone Are numbered

The internet, once a haven for human creativity and expression, is rapidly being overtaken by artificial intelligence. From the articles you read to the videos you watch, an increasing portion of onli…· 2w ago · 3 min brief

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Graph Contrastive Learning

A self-supervised approach to learning graph representations by training a model to recognise that augmented views of the same graph are similar, without requiring labelled data.

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Analogy

Learning to recognise a friends face from different photographs taken in different lighting, from different angles, with different expressions. The photographs are augmented views of the same underlying face. Contrastive learning for graphs applies the same intuition: augmented views of the same graph should look similar to a good encoder.

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