Algebra is a core part of mathematics that develops critical thinking and problem‑solving skills. Among its many topics, inequalities stand out as both essential and challenging for students. Whether ...

graphdatascience is a Python client for operating and working with the Neo4j Graph Data Science (GDS) library. It enables users to write pure Python code to project graphs, run algorithms, as well as ...

Abstract: We study algebraic neural networks (AlgNNs) with commutative algebras which unify diverse architectures such as Euclidean convolutional neural networks, graph neural networks, and group ...

I HAVE a recurring dream that I’m about to sit a maths exam. I wake up in a bit of a panic, cursing myself for not doing ...

Staring at a page of derivatives or integrals can feel like trying to read a foreign language. Your professor moves fast, the ...

Dive into Part II of our physics workshop: numerical calculations and graphing! 📊⚡ Learn how to analyze data, perform calculations, and visualize results using graphs for a better understanding of ...

Abstract: The formulation of algorithms from sparse linear algebra is often based on suitable concepts from graph theory. However, conversely, the formulation of algorithms from graph theory is rarely ...

This library is an OSS port of a Google-internal library used in a broad variety of contexts, on homogeneous and heterogeneous graphs, and in conjunction with other scalable graph mining tools. For ...