I remember recently reading a new paper elaborating a novel presentation of graph algebras. But I can't for the life of me remember the title or the author.
The central idea was axiomatizing vertices as pairs of sets of all incoming and outgoing edges.
It also had example code in Haskell.
Does anybody have an idea of the title? I'd be very thankful for suggestions.
New #paper out "WebGraph: The Next Generation (Is in Rust)" at @TheWebConf with @zommiommy, @seba_vigna, where we introduce webgraph-rs: a clean slate #opensource#Rust reimplementation of the #WebGraph compression framework for large #graphs.
When reading about the aroma and flavor of beer, specific compounds or processes are named that are responsible for hop aroma, fermentation by-products and all kinds of aging effects. For off-flavors idem. For the typical malt derived flavor, though, this is rarely seen. Why?
Say hello to GNOME Circle's newest member: Graphs! This neat app lets you plot and manipulate data with a range of versatile tools. Read more at https://apps.gnome.org/Graphs.
Today I spotted on Steam my most played games of 2023, which admittedly wasn't much, since I only had the old Windows 7 machine to play them on. My top 4 were unsurprisingly Glorkian Warrior: The Trials Of Glork, Rogue, Save me Mr Tako: Definitive Edition, and SanctuaryRPG: Black Edition.
Something REALLY wild though was this spider graph that definitely nails my game preferences.
"[T]he ant colony optimization #algorithm (ACO) is a #probabilistic technique for solving computational problems which can be reduced to finding good paths through #graphs. Artificial ants stand for multi-agent methods inspired by the behavior of real ants. The pheromone-based communication of biological ants is often the predominant paradigm used."
The conclusion drawn from this graph by those I've seen posting it shows the cherry picking that underlies supply side argument.
Like, do they not see Omaha? Are they not curious what other factors might explain why in 2020 Omaha reversed trajectories compared to Minneapolis? Despite maintaining relatively same trajectories in approvals?
#ClimateDiary Saturday morning I was wondering whether people I know in real life even see these kinds of graphs. I decided to find out by sharing it in WhatsApp groups I am in (not all but was quite brave - included colleagues, family, etc) posting it with this message.
Entirely unscientific, badly worded etc, but I am so glad I did! I learned a number of interesting things:
In every group, 70-90 % of people had never seen this graph and do not normally see these graphs. 1/x
Quite a few people, it turns out, did not really understand the graph or did not know what to make of it. Many, in fact - once a few people admitted it, many more said so, too.
In one group, people started digging, and found a lot of important additional data - which is usually missing, and which I left out completely too - #Graphs alone are useful but out of context can be not just confusing but misleading
I do think it is really important for all of us think much more about #Graphs - that we find ways to first of all make sure we ourselves properly understand what we share (and are able to be cautious and critical, too), and that we find ways for making graphs comprehensible for everyone. In one group, one person shared this - great #ClimateGraphArt ! #JillPelto
Package XGI was submitted to @pyOpenSci and is awaiting review (link to the submission in the first comment)! If you don't have time but know someone that could be interested, please, share this post!
Have there been any attempts at visualizing the federated network? Something that would include currently known instances, the ones which are blocked etc.
Visualizing the network may yield insights into the overall health and function and could be continuously monitored for issues. Or just to render pretty pictures.
Maribel Fernández and I are excited to announce the programme for ICGT'23, the 16th International Conference on Graph Transformation, taking place in Leicester this July:
Well this is definitely helping on the sizing data front. 😆 This what happens to #calckey when @fediversenews boosts a post on your brand new instance. Hooray #autoscaling! We do love some #graphs.