Abstract: R-convolution graph kernels are conventional methods for graph classification. They decompose graphs into substructures and aggregate all the substructure similarity as graph similarity.

While retrieval-augmented generation is effective for simpler queries, advanced reasoning questions require deeper connections between information that exist across documents. They require a knowledge ...

The original version of this story appeared in Quanta Magazine. Much of mathematics is driven by intuition, by a deep-rooted sense of what should be true. But sometimes instinct can lead a ...

During recording, I often find myself wanting a visual confirmation that I am recording from the correct inputs, and that the loudness and noise levels are acceptable and well balanced. As such, I ...

In-context learning (ICL) enables LLMs to adapt to new tasks by including a few examples directly in the input without updating their parameters. However, selecting appropriate in-context examples ...

We may never know why it occurred to Donald Trump or someone with access to his Truth Social account to post a graph about immigration at 2:20 a.m. Fox News was re-airing Sean Hannity’s show during ...