Graphical Linear Algebra

Math Academy, part 1: My eigenvector embarassment

I start a series of posts on Math Academy and its system for learning mathematics.

Documentation — Terminal Graph

Download Terminal Graph beta, learn the shortcuts, nodes, and dataflow model.

eigent-ai/eigent

Eigent: The Open Source Cowork Desktop - Local and Free Alternative to Claude Cowork and Codex

Matrix - Decentralised and secure communication

You're invited to talk on Matrix. If you don't already have a client this link will help you pick one, and join the conversation. If you already have one, this link will help you join the conversation

Matrix - Decentralised and secure communication

You're invited to talk on Matrix. If you don't already have a client this link will help you pick one, and join the conversation. If you already have one, this link will help you join the conversation

bsky charts (@bskycharts.edavis.dev)

posting unofficial charts of bluesky network activity 🤖📈 more at https://bskycharts.edavis.dev/bluesky-day.html chart guide: https://edavis.dev/notes/bskycharts-guide/

Rezmason/matrix

matrix (web-based green code rain, made with love)

GLEE: Geometric Laplacian Eigenmap Embedding

Graph embedding seeks to build a low-dimensional representation of a graph G. This low-dimensional representation is then used for various downstream tasks. One popular approach is Laplacian Eigenmaps (LE), which constructs a graph embedding based on the spectral properties of the Laplacian matrix of G. The intuition behind it, and many other embedding techniques, is that the embedding of a graph must respect node similarity: similar nodes must have embeddings that are close to one another. Here, we dispose of this distance-minimization assumption. Instead, we use the Laplacian matrix to find an embedding with geometric properties instead of spectral ones, by leveraging the so-called simplex geometry of G. We introduce a new approach, Geometric Laplacian Eigenmap Embedding, and demonstrate that it outperforms various other techniques (including LE) in the tasks of graph reconstruction and link prediction.

The 34th International Symposium on Graph Drawing and Network Visualization

The 34th International Symposium on Graph Drawing and Network Visualization will be held at Brock University in St. Catharines, Ontario, Canada from August 17-21, 2026. A PhD school will take place on August 17-18, 2026.

How we redesigned the Linear UI (part Ⅱ) - Linear

We have redefined the foundational layers of Linear’s application with a full redesign. This is the second post in a two-part series where we dive into why and how we redesigned the application. In part one, we shared why redesigns are important. In part two, we introduce you to the new UI and cover how we‌ tackled the project — no infinite-loop processes, workshops, or sticky notes were involved.

Computational Geometry in C (Second Edition)

Homepage for textbook on Computational Geometry

An AI Agent Published a Hit Piece on Me

Scott Shambaugh helps maintain the excellent and venerable matplotlib Python charting library, including taking on the thankless task of triaging and reviewing incoming pull requests. A GitHub account called @crabby-rathbun …

Brilliant | Your Personal Tutor for Math and Coding

Visual, interactive tutoring in math and coding, from 5th grade through college. Master concepts in algebra, calculus, Python, computer science, and more.

Nomnoml

A tool for drawing diagrams based on syntax. Supercharge your boxes and arrows.