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#graphTheory

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Grant_H<p>I have a limping (not running) debate with an exam board, and I would love answers to this question for the mathematically (<a href="https://mastodon.social/tags/graphTheory" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>graphTheory</span></a> <a href="https://mastodon.social/tags/computerscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>computerscience</span></a>) inclined:</p><p>"The purpose of the A* algorithm is..."</p><p>Boosts etc welcome.</p>
Blue Headline - Tech News<p>🤯 Did you know?<br>AI models fail 99% of FormulaOne Challenges.</p><p>These graph-based tasks show where even state‑of‑the‑art systems break down in multi‑step reasoning.</p><p>💡 Tip: When building or evaluating AI for complex problems, test beyond easy benchmarks—look for scenarios that demand long-term structure and logic.</p><p>What’s your experience? Have you seen AI struggle with deep reasoning? Let’s discuss!</p><p>Read more 👉 <a href="https://blueheadline.com/ai-robotics/ai-fails-99-of-formulaone-challenges/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">blueheadline.com/ai-robotics/a</span><span class="invisible">i-fails-99-of-formulaone-challenges/</span></a></p><p><a href="https://mastodon.social/tags/Technology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Technology</span></a> <a href="https://mastodon.social/tags/BlueHeadline" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>BlueHeadline</span></a> <a href="https://mastodon.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://mastodon.social/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MachineLearning</span></a> <a href="https://mastodon.social/tags/GraphTheory" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GraphTheory</span></a></p>
Grant_H<p>If I did everything right, I have a public alpha release of my graph (nodes and edges) editor<br>With source and windows binary !<br>(I hope)<br>It's a rolling chassis, to explore the design patterns for the ultimate goal of a <a href="https://mastodon.social/tags/higraph" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>higraph</span></a> editor.</p><p><a href="https://mastodon.social/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Python</span></a> <a href="https://mastodon.social/tags/PySide6" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PySide6</span></a> <a href="https://mastodon.social/tags/graphTheory" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>graphTheory</span></a></p><p><a href="https://github.com/ghillebrand/qtPyGraphEdit/tree/v0.0.0-alpha" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">github.com/ghillebrand/qtPyGra</span><span class="invisible">phEdit/tree/v0.0.0-alpha</span></a></p>
Victoria Stuart 🇨🇦 🏳️‍⚧️<p>GREmLN: A Cellular Regulatory Network-Aware Transcriptomics Foundation Model<br><a href="https://www.biorxiv.org/content/10.1101/2025.07.03.663009v1?rss=1" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">biorxiv.org/content/10.1101/20</span><span class="invisible">25.07.03.663009v1?rss=1</span></a></p><p>Comments<br>* really brilliant work: LLM + neural transformer architecture<br>* a molecular biologist, I long-thought (no time to learn / program) flux-based analysis / ODE models<br>* this type of modeling is foundational to in silico modeling<br>* huge proponent of graphs - add LLM, attention heads - brilliant! 😀 👍️ kudos</p><p><a href="https://mastodon.social/tags/BiologicalModeling" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>BiologicalModeling</span></a> <a href="https://mastodon.social/tags/FoundationModels" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>FoundationModels</span></a> <a href="https://mastodon.social/tags/LLM" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LLM</span></a> <a href="https://mastodon.social/tags/attention" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>attention</span></a> <a href="https://mastodon.social/tags/GraphTheory" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GraphTheory</span></a> <a href="https://mastodon.social/tags/bioinformatics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>bioinformatics</span></a></p>
CITO Greenhouse<p>Multilayer Network Neuroscience: Decoding the Brain’s Complex Systems</p><p><a href="https://mastodon.social/tags/NetworkNeuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NetworkNeuroscience</span></a> <a href="https://mastodon.social/tags/BrainConnectivity" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>BrainConnectivity</span></a> <a href="https://mastodon.social/tags/Connectome" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Connectome</span></a> <a href="https://mastodon.social/tags/Neuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Neuroscience</span></a> <a href="https://mastodon.social/tags/BrainMapping" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>BrainMapping</span></a> <a href="https://mastodon.social/tags/GraphTheory" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GraphTheory</span></a> <a href="https://mastodon.social/tags/MultilayerNetworks" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MultilayerNetworks</span></a> <a href="https://mastodon.social/tags/BrainResearch" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>BrainResearch</span></a> <a href="https://mastodon.social/tags/Neurotechnology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Neurotechnology</span></a> <a href="https://mastodon.social/tags/PersonalizedMedicine" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PersonalizedMedicine</span></a> <a href="https://mastodon.social/tags/BrainHealth" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>BrainHealth</span></a> <a href="https://mastodon.social/tags/CognitiveScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>CognitiveScience</span></a> <a href="https://mastodon.social/tags/Neuroimaging" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Neuroimaging</span></a> <a href="https://mastodon.social/tags/BrainScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>BrainScience</span></a></p><p><a href="https://youtube.com/shorts/LdGsiQgeW14?feature=share" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">youtube.com/shorts/LdGsiQgeW14</span><span class="invisible">?feature=share</span></a></p>
Victoria Stuart 🇨🇦 🏳️‍⚧️<p>How Does Graph Theory Shape Our World?<br><a href="https://www.quantamagazine.org/how-does-graph-theory-shape-our-world-20250626" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">quantamagazine.org/how-does-gr</span><span class="invisible">aph-theory-shape-our-world-20250626</span></a></p><p><a href="https://en.wikipedia.org/wiki/Graph_theory" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">en.wikipedia.org/wiki/Graph_th</span><span class="invisible">eory</span></a><br>Comments<br>* relational data/basis of knowledge graphs<br>* philosophy: Leibniz, 1714, monads, linking fundamental objects 😯<br><a href="https://en.wikipedia.org/wiki/Monadology" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">en.wikipedia.org/wiki/Monadolo</span><span class="invisible">gy</span></a></p><p><a href="https://mastodon.social/tags/math" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>math</span></a> <a href="https://mastodon.social/tags/GraphTheory" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GraphTheory</span></a> <a href="https://mastodon.social/tags/Monadology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Monadology</span></a> <a href="https://mastodon.social/tags/Leibniz" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Leibniz</span></a> <a href="https://mastodon.social/tags/monads" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>monads</span></a> <a href="https://mastodon.social/tags/KnowledgeGraphs" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>KnowledgeGraphs</span></a> <a href="https://mastodon.social/tags/epistemology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>epistemology</span></a> <a href="https://mastodon.social/tags/philosophy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>philosophy</span></a></p>
Peter Cock<p>Blog post: <a href="https://astrobeano.blogspot.com/2025/05/ergo-mech-keyboard-wiring-using-tutte-coxeter-graph.html" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">astrobeano.blogspot.com/2025/0</span><span class="invisible">5/ergo-mech-keyboard-wiring-using-tutte-coxeter-graph.html</span></a></p><p>Building on T.G. Marbach's <a href="https://fediscience.org/tags/GraphTheory" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GraphTheory</span></a> idea to use the Heawood graph for a split keyboard <a href="https://fediscience.org/tags/MechanicalKeyboard" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MechanicalKeyboard</span></a> (see <a href="https://astrobeano.blogspot.com/2025/05/topology-meets-custom-keyboard-circuit.html" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">astrobeano.blogspot.com/2025/0</span><span class="invisible">5/topology-meets-custom-keyboard-circuit.html</span></a>), I've applied the larger Tutte-Coxeter (Tutte 8 Cage) to sketch diode-free 34, 36, 40, &amp; 42 key <a href="https://fediscience.org/tags/ErgonomicKeyboard" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ErgonomicKeyboard</span></a> PCB layouts.</p>
Ross Kang<p>Just yesterday, I was musing to a (younger) research visitor, "I hope that within my lifetime we will still see another breakthrough on the bounds for R(3,k)"...</p><p><a href="https://arxiv.org/abs/2505.13371" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">arxiv.org/abs/2505.13371</span><span class="invisible"></span></a></p><p>I am excited to see what developments follow on from here!</p><p>(Also that old adage: just as soon as you publish a survey (<a href="https://arxiv.org/abs/2501.03379" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">arxiv.org/abs/2501.03379</span><span class="invisible"></span></a>) it is out of date.)</p><p><a href="https://mathstodon.xyz/tags/math" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>math</span></a> <a href="https://mathstodon.xyz/tags/mathematics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>mathematics</span></a> <a href="https://mathstodon.xyz/tags/combinatorics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>combinatorics</span></a> <a href="https://mathstodon.xyz/tags/ExtremalCombinatorics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ExtremalCombinatorics</span></a> <a href="https://mathstodon.xyz/tags/graphtheory" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>graphtheory</span></a> <a href="https://mathstodon.xyz/tags/probability" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>probability</span></a></p>

#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
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 (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 (sparse-graphs.mimuw.edu.pl/), devoted to online collaborative workshops. In 2024, I helped spearhead the MathOA Diamond Open Access Stimulus Fund (mathoa.org/diamond-open-access).

Until now, my posts have mostly been about scientific publishing and combinatorics.

#introduction
#openscience
#diamondopenaccess
#scientificpublishing
#openaccess
#RemoteConferences
#combinatorics
#graphtheory
#ExtremalCombinatorics
#probability

igt.centre-mersenne.orgInnovations in Graph Theory Innovations in Graph Theory

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: 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!

vis.khoury.northeastern.eduKhoury Vis Lab, Northeastern UniversityFront page Khoury Vis Lab, Northeastern University