City2Graph is a Python library for converting geospatial datasets into graphs for Graph Neural Networks (GNN) and spatial analysis.

I made a one piece faction network and just wanted to share it. Links below!

Bipartite graphs are so cool.

Towards image captioning in the wild.

A ZeroNet review that also asks, is ZeroNet the future of the Internet?

My search for alternative social networks has led to some you may find acceptable, although they may benefit from more users, or not, depending on what you value.

Cheapskate’s Guide articles on decentralized networks.

The modeling of polycule dynamics is an open question, but it can be best approximated from the Erdős–Rényi model of the random graph.

This article provides a detailed guide on how to revive an old, low-end laptop into a functional gaming machine by installing a lightweight Linux distribution like Lubuntu and optimizing it for Steam Proton and emulation to achieve better performance than on Windows.

A site with statistics regarding the decentralization status of various web services

Nice proposal for quickly writing undirected graphs in text.

Neat applications of category theory to chemical reactions.

Every time I read a page on nLab, my brain grows just a tad larger.

Scientists and engineers use diagrams of networks in many different ways. Together with many collaborators I am studying networks with the tools of modern mathematics, such as category theory. You can read blog articles, papers and a book about our research. I am collaborating with the Topos Institute to use the resulting math for scientific computation, such as quickly adaptable models of infectious disease.

Collection of notes on the intersection of networks and categories by one of the contemporary GOATs of category theory.

About the Course: In this course you’ll learn about the tools used by scientists to understand complex systems.

Abstract How do individuals’ network selection decisions create unique network structures?