Asta [AMP]<p><span>Came up at work but definitely a question of general interest:<br><br>I feel like when looking at a line-by-line diff of an XML file, it's just... </span><i>really</i> not super clear, even with highlighting and such. Is there any sort of graph-aware diff tool that might generate a visual graph and show the difference <i>that</i><span> way? So that rather than reviewing line by line, you can say "ah, a node has moved from being a child of this node to another", or "these two nodes have been merged into one".<br><br>I feel like it would be possible to gin something up in like, networkX or something, but if there's prior art...<br><br></span><a href="https://fire.asta.lgbt/tags/techPosting" rel="nofollow noopener noreferrer" target="_blank">#techPosting</a> <a href="https://fire.asta.lgbt/tags/XML" rel="nofollow noopener noreferrer" target="_blank">#XML</a> <a href="https://fire.asta.lgbt/tags/computerScienceTrees" rel="nofollow noopener noreferrer" target="_blank">#computerScienceTrees</a> <a href="https://fire.asta.lgbt/tags/graphs" rel="nofollow noopener noreferrer" target="_blank">#graphs</a> <a href="https://fire.asta.lgbt/tags/diffs" rel="nofollow noopener noreferrer" target="_blank">#diffs</a></p>
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Richie Khoo<p>Is there a way to graph trending hashtags on mastodon/the Fediverse?</p><p>What I'm interested in is to graph say my local city of <a href="https://hachyderm.io/tags/Adelaide" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Adelaide</span></a> and use that as a bit of an indicator of if <a href="https://hachyderm.io/tags/Mastodon" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Mastodon</span></a> usage and engagemement is growing locally in my town</p><p>And yes im interested in data across the fediverse or at least across a few selected servers, as I want data beyond just a single instance.</p><p>I can see this on my desktop web interface right now.. so Im guessing there *should* be a way.</p><p><a href="https://hachyderm.io/tags/GrowingMastodon" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>GrowingMastodon</span></a> <a href="https://hachyderm.io/tags/DataVisualisation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataVisualisation</span></a> <a href="https://hachyderm.io/tags/TrendingTopics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>TrendingTopics</span></a> <a href="https://hachyderm.io/tags/DataAnalytics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataAnalytics</span></a> <a href="https://hachyderm.io/tags/FediverseAnalytics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>FediverseAnalytics</span></a> <a href="https://hachyderm.io/tags/GoogleTrends" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>GoogleTrends</span></a> <a href="https://hachyderm.io/tags/Graphs" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Graphs</span></a></p>
Clayton Hove<p>Today’s Lesson: Inappropriate Words at a Business Meeting</p><p>— from Throwing the Elephant — Zen and the Art of Managing Up • Stanley Bing • 2002</p><p><a href="https://universeodon.com/tags/management" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>management</span></a> <a href="https://universeodon.com/tags/meetings" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>meetings</span></a> <a href="https://universeodon.com/tags/business" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>business</span></a> <a href="https://universeodon.com/tags/graphs" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>graphs</span></a> <a href="https://universeodon.com/tags/charts" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>charts</span></a></p>
Jesus Castagnetto 🇵🇪<p>"A new way to make <a href="https://mastodon.social/tags/graphs" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>graphs</span></a> more accessible to blind and low-vision readers"</p><p><a href="https://mastodon.social/tags/dataviz" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>dataviz</span></a> <a href="https://mastodon.social/tags/accessibility" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>accessibility</span></a> <a href="https://mastodon.social/tags/a11y" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>a11y</span></a></p><p><a href="https://news.mit.edu/2025/making-graphs-more-accessible-blind-low-vision-readers-0325" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">news.mit.edu/2025/making-graph</span><span class="invisible">s-more-accessible-blind-low-vision-readers-0325</span></a></p>
Albert Cardona<p>Plots of a ReLU function (Rectified Linear Unit) and a ReLU tamed by tanh to keep its activation values below 1, which is far more realistic for modeling a neuron's activation function:<br><a href="https://www.desmos.com/calculator/jcx2xcgd7m" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">desmos.com/calculator/jcx2xcgd</span><span class="invisible">7m</span></a></p><p>"Desmos Studio is a Public Benefit Corporation with a goal of helping everyone learn math, love math, and grow with math."</p><p><a href="https://mathstodon.xyz/tags/graphs" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>graphs</span></a> <a href="https://mathstodon.xyz/tags/desmos" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>desmos</span></a> <a href="https://mathstodon.xyz/tags/plots" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>plots</span></a></p>
LMS Solution<p>AI-Driven Automation for Research Paper Visuals with Visme<br>Automate creation of flowcharts, graphs, and charts for research papers.<br><a href="https://zurl.co/XJ2eg" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">zurl.co/XJ2eg</span><span class="invisible"></span></a><br><a href="https://zurl.co/b31R6" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">zurl.co/b31R6</span><span class="invisible"></span></a><br><a href="https://mastodon.social/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> <a href="https://mastodon.social/tags/Visme" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Visme</span></a> <a href="https://mastodon.social/tags/ResearchPapers" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ResearchPapers</span></a> <a href="https://mastodon.social/tags/Flowcharts" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Flowcharts</span></a> <a href="https://mastodon.social/tags/Graphs" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Graphs</span></a> <a href="https://mastodon.social/tags/Charts" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Charts</span></a> <a href="https://mastodon.social/tags/Automation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Automation</span></a> <a href="https://mastodon.social/tags/Visuals" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Visuals</span></a> <a href="https://mastodon.social/tags/AcademicTools" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AcademicTools</span></a> <a href="https://mastodon.social/tags/DataVisualization" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataVisualization</span></a> <a href="https://mastodon.social/tags/ResearchSupport" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ResearchSupport</span></a> <a href="https://mastodon.social/tags/AIChatbot" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AIChatbot</span></a> <a href="https://mastodon.social/tags/DesignAutomation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DesignAutomation</span></a> <a href="https://mastodon.social/tags/PaperPresentation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>PaperPresentation</span></a> <a href="https://mastodon.social/tags/SmartGraphics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>SmartGraphics</span></a></p>
Starbeamrainbowlabs<p>While I try to find time to write a PhD update blog post, here's a Cool Graph I plotted recently for my rainfall radar model.</p><p>One of the things I have been asked to do in my PhD corrections is to assess the model's stability. To this end, I trained a series of models at different learning rates, and this is the result.</p><p>Now I just need to figure out why the output prediction looks like it has a case of chickenpox.....</p><p><a href="https://fediscience.org/tags/PhD" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>PhD</span></a> <a href="https://fediscience.org/tags/PhDThesis" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>PhDThesis</span></a> <a href="https://fediscience.org/tags/Corrections" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Corrections</span></a> <a href="https://fediscience.org/tags/Research" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Research</span></a> <a href="https://fediscience.org/tags/Graphs" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Graphs</span></a> <a href="https://fediscience.org/tags/DataVisualisation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataVisualisation</span></a> <a href="https://fediscience.org/tags/AcademicChatter" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AcademicChatter</span></a> <a href="https://fediscience.org/tags/Rainfall" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Rainfall</span></a> <a href="https://fediscience.org/tags/Debugging" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Debugging</span></a> <a href="https://fediscience.org/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> <a href="https://fediscience.org/tags/ML" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ML</span></a></p>
ErrantScience<p>See if you can work out the number of mistakes in this graph and let us know. Anyone that gets it right will be awarded special internet points. <a href="https://mas.to/tags/DataVis" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataVis</span></a> <a href="https://mas.to/tags/Data" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Data</span></a> <a href="https://mas.to/tags/Graphs" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Graphs</span></a></p>
Marc Trius<p>Is there a term for a graph that changes shape as it is traversed? (You could say that an edge is or isn't enabled depending on which edge was used to enter the node)</p><p><a href="https://hachyderm.io/tags/ComputerScience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ComputerScience</span></a> <a href="https://hachyderm.io/tags/math" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>math</span></a> <a href="https://hachyderm.io/tags/graphs" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>graphs</span></a> <a href="https://hachyderm.io/tags/GameDev" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>GameDev</span></a></p>
Alexandre B A Villares<p><a href="https://pynews.com.br/tags/TravellingSalesmanProblem" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>TravellingSalesmanProblem</span></a> <a href="https://pynews.com.br/tags/MinimalSpanningTree" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MinimalSpanningTree</span></a> <a href="https://pynews.com.br/tags/SciPy" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>SciPy</span></a> <a href="https://pynews.com.br/tags/graphs" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>graphs</span></a> Code at: <a href="https://github.com/villares/sketch-a-day/tree/main/2025/sketch_2025_02_11" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">github.com/villares/sketch-a-d</span><span class="invisible">ay/tree/main/2025/sketch_2025_02_11</span></a><br>More sketch-a-day: <a href="https://abav.lugaralgum.com/sketch-a-day" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">abav.lugaralgum.com/sketch-a-d</span><span class="invisible">ay</span></a><br>If you like this, support my work: <a href="https://www.paypal.com/donate/?hosted_button_id=5B4MZ78C9J724" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">paypal.com/donate/?hosted_butt</span><span class="invisible">on_id=5B4MZ78C9J724</span></a> <a href="https://pynews.com.br/tags/Processing" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Processing</span></a> <a href="https://pynews.com.br/tags/Python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Python</span></a> <a href="https://pynews.com.br/tags/py5" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>py5</span></a> <a href="https://pynews.com.br/tags/CreativeCoding" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>CreativeCoding</span></a></p>
dbat :godot:<p><a href="https://mastodon.gamedev.place/tags/Dev" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Dev</span></a> <a href="https://mastodon.gamedev.place/tags/Graphs" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Graphs</span></a> <a href="https://mastodon.gamedev.place/tags/Godot" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Godot</span></a> <a href="https://mastodon.gamedev.place/tags/GDScript" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>GDScript</span></a></p><p>Basic graph:</p><p>A ---------------------> C<br>| ^<br>'---------> B ------------'</p><p>A goes to B and C. B goes to C.</p><p>Say I change A. How do I get a result in C? What are the ways to make it "run"?</p><p>I can do a recursive loop, but it gets hard to reason about. </p><p>Are there words for this I can search up?</p><p>Could it be done with signals?</p><p>Also, is there some clever way to detect infinite loops?</p><p>graph-plexed<br>🦇</p>
AlexCrimi<p>We have a new preprint on <a href="https://mstdn.social/tags/TDA" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>TDA</span></a>: "Modeling Misfolded Protein Spread in <a href="https://mstdn.social/tags/Alzheimer" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Alzheimer</span></a> 's via Higher-Order Contagion"<br>by M. Wardynsky, I. Iacopini, G. Petri & V. Latora. We show how high-order <a href="https://mstdn.social/tags/graphs" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>graphs</span></a> improve predictions of misfolded protein spreading vs. SOTA models. 🔗 <a href="https://medrxiv.org/content/10.1101/2025.02.01.25321521v1" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">medrxiv.org/content/10.1101/20</span><span class="invisible">25.02.01.25321521v1</span></a></p>
Paco Xander Nathan<p>🚀 ASK-ME-ANYTHING session @ GraphGeeks.org ❣️ </p><p>Join us for this 'connected' discussion -- ask your burning questions -- with Paco Nathan @ Senzing, an evil mad scientist at the cutting edge of AI applications, graphs technologies, and data analytics use cases in general.</p><p>📅 Thu Jan 30 🕒 08:00 US Pacific | 16:00 London<br><a href="https://lnkd.in/gFYqkK-X" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">lnkd.in/gFYqkK-X</span><span class="invisible"></span></a> </p><p><a href="https://mastodon.green/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> <a href="https://mastodon.green/tags/KG" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>KG</span></a> <a href="https://mastodon.green/tags/DataScience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataScience</span></a> <a href="https://mastodon.green/tags/TechTalk" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>TechTalk</span></a> <a href="https://mastodon.green/tags/Graphs" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Graphs</span></a> <a href="https://mastodon.green/tags/GraphRAG" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>GraphRAG</span></a> <a href="https://mastodon.green/tags/Senzing" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Senzing</span></a></p>
Harald Klinke<p>Graphs are everywhere, but LLMs are trained on text. In „Talk like a Graph“ (ICLR 2024), Google introduces methods for encoding graphs for LLMs, launches the GraphQA benchmark, and demonstrates how task phrasing & graph structure impact reasoning.
<a href="https://bsky.app/search?q=%23ICLR2024" rel="nofollow noopener noreferrer" target="_blank">#ICLR2024</a> <a href="https://bsky.app/search?q=%23AI" rel="nofollow noopener noreferrer" target="_blank">#AI</a> <a href="https://bsky.app/search?q=%23Graphs" rel="nofollow noopener noreferrer" target="_blank">#Graphs</a><br><br><a href="https://blog.research.google/2024/03/talk-like-graph-encoding-graphs-for.html" rel="nofollow noopener noreferrer" target="_blank">Talk like a graph: Encoding gr...</a></p>
Harald Klinke<p>Graphs are everywhere, but LLMs are trained on text. In „Talk like a Graph“ (ICLR 2024), Google introduces methods for encoding graphs for LLMs, launches the GraphQA benchmark, and demonstrates how task phrasing & graph structure impact reasoning. Right methods boost performance by up to 60%! <a href="https://det.social/tags/ICLR2024" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ICLR2024</span></a> <a href="https://det.social/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> <a href="https://det.social/tags/Graphs" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Graphs</span></a><br><a href="https://blog.research.google/2024/03/talk-like-graph-encoding-graphs-for.html" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">blog.research.google/2024/03/t</span><span class="invisible">alk-like-graph-encoding-graphs-for.html</span></a></p>
Dustin Tungilik MacDonald<p><a href="https://lemmit.online/post/4959426" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">lemmit.online/post/4959426</span><span class="invisible"></span></a></p><p>These are great <a href="https://mastodon.social/tags/graphs" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>graphs</span></a> such an interesting way to visualize <a href="https://mastodon.social/tags/nhl" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>nhl</span></a> standings <br><a href="https://mastodon.social/tags/hockey" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>hockey</span></a> <a href="https://mastodon.social/tags/leafs" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>leafs</span></a></p>
blog! “Graphing the connections between my blog posts”
I love ripping off good ideas from other people's blogs. I was reading Alvaro Graves-Fuenzalida's blog when I saw this nifty little force-directed graph:
When zoomed in, it shows the relation between posts and tags.
In this case, I can see that the posts about Small Gods and Pyramids…
Read more: https://shkspr.mobi/blog/2025/01/graphing-the-connections-between-my-blog-posts/
⸻
#blogging #graphs #HTML #php #WordPress
Terence Eden’s Blog · Graphing the connections between my blog posts
More from 
Terence Eden
Contact energy has upgraded their app.
Not much changed except they now round the top of the bar graph on the usage tab.
Why would you round the top? My use doesn't rise up and fall off each month.
( December is Christmas. It'll be back to normal in Jan I said hopefully)
#ContactEnergy
#graphs
Oh, this is neat: combine the construction of the natural numbers as sets, interpret sets as trees, and use a nice graph layout algorithm: numbers are leaves!
christo.shNumbers are Leaves
Over Christmas I set out to teach myself axiomatic . Specifically, I wanted to teach myself Zermelo-Fraenkel set theory with the axiom of Choice or .
Z...
Replied in thread
We also have 2025 = 3⁴ 5².
That could be represented by a hierarchy of #graphs:
- three bipartite graphs joining n nodes to n nodes (n=3, twice, and n=5) make n² edges,
- the bipartite #graph that has for nodes the edges of the n=3 graph has 3⁴ edges,
- taking those edges as one set of nodes, and those of the n=5 graph as another set, the bipartite graph formed with them has 2025 edges.
Who is ready to find a nice way to arrange this in the plane, and then code it?
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