If I did everything right, I have a public alpha release of my graph (nodes and edges) editor
With source and windows binary !
(I hope)
It's a rolling chassis, to explore the design patterns for the ultimate goal of a #higraph editor.
https://github.com/ghillebrand/qtPyGraphEdit/tree/v0.0.0-alpha
GREmLN: A Cellular Regulatory Network-Aware Transcriptomics Foundation Model
https://www.biorxiv.org/content/10.1101/2025.07.03.663009v1?rss=1
Comments
* really brilliant work: LLM + neural transformer architecture
* a molecular biologist, I long-thought (no time to learn / program) flux-based analysis / ODE models
* this type of modeling is foundational to in silico modeling
* huge proponent of graphs - add LLM, attention heads - brilliant! 
️ kudos
A friend showed me a leetcode problem yesterday at the Recurse Center:
Which led me to play for a bit on paper, then drafted a rough a visual toy:
https://codepen.io/fractalkitty/live/WbvJKgy
(I haven't actually done any leetcode problems because I often end up on paper and down rabbit holes)
I am starting a new series on the blog for inquiries in math. I posted the first one today:
https://www.fractalkitty.com/inquiries-week-1-circle-shading/
#git can be hard, like anything if you want to understand it
So are DAGs
Then again of you want to start with git and get to #graphtheory , which is fun in my view. It ll be after months of accidents
No employer wants that on their payroll and no team or authority wants to be responsible for it or accepts it and it ll be a nightmare for the person after fun.
So the society, the institution and the market collectively orient workforce not to have fun in learning things, including cubicles.
Oh yes move fast and break thing , but at your expense, which clearly is hoarded.
That explains a lot , including the rise of #ai
#git
https://ohshitgit.com/
A post of @11011110 has reminded me that (after a year and a half lurking here) it's never too late for me to toot and pin an intro here.
I am a Canadian mathematician in the Netherlands, and I have been based at the University of Amsterdam since 2022. I also have some rich and longstanding ties to the UK, France, and Japan.
My interests are somewhere in the nexus of Combinatorics, Probability, and Algorithms. Specifically, I like graph colouring, random graphs, and probabilistic/extremal combinatorics. I have an appreciation for randomised algorithms, graph structure theory, and discrete geometry.
Around 2020, I began taking a more active role in the community, especially in efforts towards improved fairness and openness in science. I am proud to be part of a team that founded the journal, Innovations in Graph Theory (https://igt.centre-mersenne.org/), that launched in 2023. (That is probably the main reason I joined mathstodon!) I have also been a coordinator since 2020 of the informal research network, A Sparse (Graphs) Coalition (https://sparse-graphs.mimuw.edu.pl/), devoted to online collaborative workshops. In 2024, I helped spearhead the MathOA Diamond Open Access Stimulus Fund (https://www.mathoa.org/diamond-open-access-stimulus-fund/).
Until now, my posts have mostly been about scientific publishing and combinatorics.
#introduction
#openscience
#diamondopenaccess
#scientificpublishing
#openaccess
#RemoteConferences
#combinatorics
#graphtheory
#ExtremalCombinatorics
#probability
Anyway, I wanted you to know that there's a kind of graph in #mathematics #graphTheory that is called «dessin d'enfant» (child's drawing).
Where Graph Theory Meets The Road: The Algorithms Behind Route Planning - Back in the hazy olden days of the pre-2000s, navigating between two locations gen... - https://hackaday.com/2024/04/04/where-graph-theory-meets-the-road-the-algorithms-behind-route-planning/ #transportationhacks #routeplanning #graphtheory #featured #interest #history
Hey Mastodon! 
Here is our #introduction post: We are the Data Visualization Lab at Khoury College of Computer Sciences at Northeastern University. You can find more about our work here: https://vis.khoury.northeastern.edu/
We'd love to be connected to more folks and labs in the realms of #DataVisualization #HCI #xAI #AR #VR #VisualAnalytics #PhD #Research
Our lab has been applying visualization to domain areas like #accessibility #UAVs #Genetics #Privacy #Pedagogy #Networks #GraphTheory
Say hi!
NEW Blog Post!
Inspired by @kpfssport,
Analysing the 2023 FIFA Women's World Cup with Graph Theory
I still need to add some short blurbs about each chapter, but here's the website for Exploring Graph Theory With Julia, complete with my lazily-designed temporary cover "art": https://leanpub.com/exploring-graph-theory-with-julia
I would love to know if this book sounds interesting to you!
(Boosts welcome 
)
Are there any good tools for analysing your Mastodon network in a #GraphTheory / #NetworkAnalysis kind of way?
I'd love to:
- visualise the different groups of people that I follow: what are the connections between the people that I follow?
- see which accounts post a lot, or not at all
- see which accounts I interact with the most (are there people that I followed but it turns out I'm not actually interested in what they post now?)
- see what hours I and others post
Hi folks, I have somebody who is #lookingforajob in the greater #boston area. He’s a PhD in #math with experience doing #graphtheory as well as #quantumcomputing #quantumcompilation. Several yrs of post phd experience in govt looking to get back to #academia and is open to #postdoc or other roles in #research
Lots of new people migrating to Mastodon from Twitter! Given that the crowd is very different here, I thought I'd reintroduce myself by being more open than usual about my recent art.
'⦵ (pour Isidore)' is series of works (including speech synthesis, photography, graph analysis, found artefacts and text) presented across a wav and a pdf. There is no streaming preview.
What kind of #network do we want for #Mastodon (and #Fediverse in general)?
The answer may vary depending on users and communities, but let's discuss where the new follow-recommendation tool of Mastodon 3.5 leads us (https://github.com/mastodon/mastodon/pull/15945).
The evolution of a network where new users preferentially follow existing influencers can be modeled as a Price/BA network.
https://en.wikipedia.org/wiki/Barab%C3%A1si%E2%80%93Albert_model
You end up with few large influencers.
Honestly, I'm not a fan...
