Don't be fooled by a graph. New research shows that a scientist's policy preferences can influence their results. Look past the model and find the ground truth.

These versatile strategies—from brain dumps to speed sharing—help students track their own progress while informing your next instructional steps.

graphs-renderer is designed to work alongside certain tools that you're likely to have in your project. To avoid version conflicts and ensure compatibility, we list these tools as peer dependencies: ...

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 ...

School of Engineering, Institute of Computer Science, Intelligent Information Systems Research Group, Zurich University of Applied Sciences, Winterthur, Switzerland Many different methods for ...

Much of mathematics is driven by intuition, by a deep-rooted sense of what should be true. But sometimes instinct can lead a mathematician astray. Early evidence might not represent the bigger picture ...

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 ...