Abstract: An undirected weighted graph (UWG) is the fundamental data representation in various real applications. A graph convolution network is frequently utilized for representation learning to a ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

This is an idea @iritkatriel, @markshannon and @pablogsal and I were discussing at the sprints in Cambridge. Currently the ast module exposes a set of mutable AST nodes. The process of marshaling out ...

The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...

Graphs are a ubiquitous data structure and a universal language for representing objects and complex interactions. They can model a wide range of real-world systems, such as social networks, chemical ...

How can we make every node in a graph its own intelligent agent—capable of personalized reasoning, adaptive retrieval, and autonomous decision-making? This is the core question explored by a group ...

If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle the easiest pieces first. But this kind of sorting has a cost.

In this tutorial, we guide you through the development of an advanced Graph Agent framework, powered by the Google Gemini API. Our goal is to build intelligent, multi-step agents that execute tasks ...

Create a project with one Text node supplying input to two layers (or use the attached project). Drag-select the two layers and their input nodes. In the attached project, use the bottom two layers, ...