Tiago Peixoto @tiagopeixoto Twitter profile

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Tiago Peixoto

@tiagopeixoto

1 month

New on the @arxiv : “Network reconstruction via the minimum description length principle” Short explainer thread: 1/N

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Tiago Peixoto

@tiagopeixoto

1 month

Good news everyone! A new version of graph-tool is just out! @graph_tool @graph_tool is a comprehensive and efficient Python library to work with networks, including structural, dynamical, and statistical algorithms, as well as visualization. 1/N

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Tiago Peixoto

@tiagopeixoto

1 year

Good news everyone! A new version of graph-tool is just out! @graphtool Single line installation: Anaconda ⤵️ conda create --name gt -c conda-forge graph-tool Homebrew ⤵️ brew install graph-tool Debian/Ubuntu⤵️ apt-get install python3-graph-tool 1/2

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Tiago Peixoto

@tiagopeixoto

1 year

Taking a closer look at this paper, I really dislike it. It's clear that newer papers *must* have a lower “disruption” score than older ones under a null model — they even confirm this in the supplemental material with a randomization test.

Papers and patents are becoming less disruptive over time

Nature - A decline in disruptive science and technology over time is reported, representing a substantive shift in science and technology, which is attributed in part to the reliance on a narrower...

www.nature.com

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Tiago Peixoto

@tiagopeixoto

11 months

The damn equation is wrong...

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Tiago Peixoto

@tiagopeixoto

4 years

I'm happy to announce a new project, called Netzschleuder: This is a network data catalogue and repository. It currently contains 257 datasets totaling 3,916 individual networks (94,956 if you include a big @openstreetmap trove). 1/5

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Tiago Peixoto

@tiagopeixoto

2 years

A new year, a new version of graph-tool is out!! @graphtool Single line installation: anaconda ⤵️ conda create --name gt -c conda-forge graph-tool homebrew ⤵️ brew install graph-tool debian/ubuntu⤵️ apt-get install python3-graph-tool

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Tiago Peixoto

@tiagopeixoto

5 years

A new version of graph-tool is out! Besides improvements and bug-fixes, there are several new things in this release! 1/4

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Tiago Peixoto

@tiagopeixoto

5 months

New paper! “Scalable network reconstruction in subquadratic time” TL;DR: It's now possible to reconstruct huge networks from observational data using statistical inference. Explainer thread: 1/N

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Tiago Peixoto

@tiagopeixoto

4 years

Just in time for #netsci2020 , a new version of graph-tool has been released! Single line installation: anaconda ⤵️ conda create --name gt -c conda-forge graph-tool homebrew ⤵️ brew install graph-tool debian/ubuntu ⤵️ apt-get install python3-graph-tool

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Tiago Peixoto

@tiagopeixoto

2 years

Good news everyone! A new version of graph-tool is just out! @graphtool Single line installation: anaconda ⤵️ conda create --name gt -c conda-forge graph-tool homebrew ⤵️ brew install graph-tool debian/ubuntu⤵️ apt-get install python3-graph-tool

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Tiago Peixoto

@tiagopeixoto

18 days

New blog post: “Untangling the hairball using statistical inference” 1/4

Tiago P. Peixoto - Untangling the hairball using statistical inference

Inferential Network Science

skewed.de

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Tiago Peixoto

@tiagopeixoto

3 years

A new version of graph-tool is out! @graphtool It includes a 5x speedup of the SBM inference multilevel algorithm for principled community detection! Let it rip on your very large networks! See the HOWTO here: 1/3

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Tiago Peixoto

@tiagopeixoto

6 years

Just out on @PhysRevE : "Nonparametric weighted stochastic block models" Want to find statistically significant hierarchical modules in weighted networks? Read the HOWTO and get the code here:

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Tiago Peixoto

@tiagopeixoto

2 years

Our perspective with @PiratePeel and @manlius84 just came out on @NatureComms : “Statistical inference links data and theory in network science” We argue how Bayesian inferential methods are essential for a robust network science.

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Tiago Peixoto

@tiagopeixoto

5 years

Happy to announce that as of today I'm starting as Associate Professor at @dnds_ceu @ceu !

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Tiago Peixoto

@tiagopeixoto

4 years

A new version of graph-tool is out! It includes bug fixes, improvements, and a new merge-split algorithm for SBM inference (see updated documentation ) 1/3

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Tiago Peixoto

@tiagopeixoto

4 years

New on the @arxiv : "Statistical inference of assortative community structures" With my student Lizhi Zhang, we show how you can use Bayesian inference to uncover statistically significant assortative communities in networks. 1/7

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Tiago Peixoto

@tiagopeixoto

3 years

New on the @arxiv ! "Disentangling homophily, community structure and triadic closure in networks", Homophily/communities and triadic closure (triangles) are conflated properties in network analysis, and this method tells them apart. An explainer: 1/5

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Tiago Peixoto

@tiagopeixoto

10 months

The zoom terms of service have been updated to require consent to use your call data for AI training. No opt-out possible. The near-future of proprietary internet is bleak. Switch to the free internet. Use @jitsinews , @bigbluebutton , etc.

Zoom Terms of Service | Zoom

Read: Terms of Service – Zoom

explore.zoom.us

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Tiago Peixoto

@tiagopeixoto

11 months

Finally out on @CambridgeUP Elements: “Descriptive vs. Inferential Community Detection in Networks” Open access, and just in time for @netsci2023 ! Enjoy! 1/3

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Tiago Peixoto

@tiagopeixoto

6 years

New paper @ScienceAdvances "A network approach to topic models" w/ @martgerlach & @egaltmann We show how using hierarchical SBMs removes serious limitations of LDA, and connects topic modelling to community detection. Code & more:

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Tiago Peixoto

@tiagopeixoto

2 years

New in the @arxiv : “Implicit models, latent compression, intrinsic biases, and cheap lunches in community detection” Joint with @captainkirk1041 , we “back engineer” arbitrary community detection methods to reveal their hidden generative models! 1/11

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Tiago Peixoto

@tiagopeixoto

9 months

Pre-prints are as “real” as any other kind of publication. Peer-review is important, but it's not what determines the value of a publication. Real scientists read and cite pre-prints all the time. @arxiv is invaluable in Physics & Math, with a very different culture than CS.

@[email protected] on Mastodon

@emilymbender

9 months

@tdietterich @TaliaRinger @mmitchell_ai @ErikWhiting4 @arxiv arXiv is a cancer that promotes the dissemination of junk "science" in a format that is indistinguishable from real publications. And promotes the hectic "can't keep up" + "anything older than 6 months is irrelevant" CS culture. >>

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Tiago Peixoto

@tiagopeixoto

5 years

New work on the @arxiv_org : "Network reconstruction and community detection from dynamics", I show how coupling Bayesian network reconstruction from functional behavior with community detection enhances both tasks simultaneously. 1/4

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Tiago Peixoto

@tiagopeixoto

1 year

Want do to a PhD in Network Science? We are offering 5 fully funded fellowships to study at @dnds_ceu , in Vienna, Austria! 🇦🇹 Application deadline is February 1st, 2023. (Next Wednesday!) More information:

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Tiago Peixoto

@tiagopeixoto

4 years

Want to do a PhD in Network Science, Data Science or a related field? 🎓👩‍🔬📉 We are offering 5 fully-funded scholarships at @dnds_ceu @ceu in Vienna, Austria 🇦🇹, to start in September 2021. Application deadline: February 28th, 2021. Read more at:

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Tiago Peixoto

@tiagopeixoto

3 years

Exciting news! We are announcing a new undergraduate program in Quantitative Social Sciences at @dnds_ceu . Our program combines rigorous ("hard sciences"-level) mathematics, statistics, and programming with the pillars of the social sciences. 1/3

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Tiago Peixoto

@tiagopeixoto

4 years

New on the @arxiv : "Revealing consensus and dissensus between network partitions" Community detection algorithms often give us multiple competing answers. One common solution is to build a consensus among them. But what if there is no consensus? 1/7

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Tiago Peixoto

@tiagopeixoto

2 years

Want do to a PhD in Network Science? We are offering 6 fully funded fellowships to study at @dnds_ceu , in Vienna, Austria! 🇦🇹 Application deadline is February 28th, 2022. More information:

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Tiago Peixoto

@tiagopeixoto

3 years

New version of graph-tool is out! (New: ) Single-line install instructions: Anaconda ⤵️ conda create --name gt -c conda-forge graph-tool Homebrew ⤵️ brew install graph-tool Debian/Ubuntu⤵️ apt-get install python3-graph-tool

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Tiago Peixoto

@tiagopeixoto

7 years

New version of graph-tool is out! Now includes support for weighted SBMs, see HOWTO:

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Tiago Peixoto

@tiagopeixoto

2 years

New on the @arxiv : “Ordered community detection in directed networks” A short thread... 1/9

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Tiago Peixoto

@tiagopeixoto

6 years

New version of graph-tool is out! Includes support for statistical network reconstruction (), see the HOWTO documentation here:

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Tiago Peixoto

@tiagopeixoto

3 years

Want do to a PhD in Network Science? We are offering 6 fully funded fellowships to study at @dnds_ceu , in Vienna, Austria! 🇦🇹 Application deadline is February 28th, 2022. More information:

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Tiago Peixoto

@tiagopeixoto

6 years

Finally on the arXiv: "Reconstructing networks with unknown and heterogeneous errors" Did you know you can reconstruct and make error estimates for networks, by making only a single noisy measurement?

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Tiago Peixoto

@tiagopeixoto

4 years

Bored in home isolation and craving to infer the modular structure of some network data, but your code is too slow? New in the arxiv: "Merge-split Markov chain Monte Carlo for community detection" 1/3

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Tiago Peixoto

@tiagopeixoto

1 year

Finally, according to their definition, review papers would be “disruptive” because they funnel a bunch of citations. And a paper that does not cite anyone but is universally cited would not be “disruptive”. 🤷

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Tiago Peixoto

@tiagopeixoto

5 years

Just out on @PhysRevLett : "Network reconstruction and community detection from dynamics".

Network Reconstruction and Community Detection from Dynamics

We present a scalable nonparametric Bayesian method to perform network reconstruction from observed functional behavior that at the same time infers the communities present in the network. We show...

journals.aps.org

Tiago Peixoto

@tiagopeixoto

5 years

New work on the @arxiv_org : "Network reconstruction and community detection from dynamics", I show how coupling Bayesian network reconstruction from functional behavior with community detection enhances both tasks simultaneously. 1/4

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Tiago Peixoto

@tiagopeixoto

4 years

I used @Sci_Hub today and was greeted by this GIF of Alexandra Elbakyan (), the site's inventor, who has single-handedly solved the problem of open access in science. It's amazing what can be accomplished with common sense, courage and skill. Massive kudos!

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Tiago Peixoto

@tiagopeixoto

9 years

A new version of graph-tool has been released! http://t.co/r32m7gZgBw #network #python http://t.co/wFbs8Dxyvo

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Tiago Peixoto

@tiagopeixoto

6 years

Just out on @PhysRevX : "Reconstructing Networks with Unknown and Heterogeneous Errors" New method can reconstruct networks and provide error estimates for them, even when measurement uncertainties are unknown.

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Tiago Peixoto

@tiagopeixoto

1 year

In Germany, the situation for post-docs has been notoriously horrid: If you don't get a permanent position in 6 years—you're out. Your contract cannot be renewed. The solution the government just announced for this is: 🥁🥁🥁 Reduce the maximum post-doc time to 3 years. WTF

Carolin Wagner

@CaroWagner_in

1 year

In den letzten Wochen und Monaten habe ich unzählige Gespräche mit Interessenverbänden, dem Bundesministerium für Bildung und Forschung und innerhalb der Ampel-Koalition geführt. Heute können wir ein Ergebnis präsentieren! Wir reformieren das Wissenschaftszeitvertragsgesetz.

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Tiago Peixoto

@tiagopeixoto

1 month

I was genuinely impressed with how bad L1 regularization really is... And it's used *everywhere* in ML as some sort of silver bullet.

Tiago Peixoto

@tiagopeixoto

1 month

The shrinkage bias caused by L1 and cross-validation do not mix well, forcing an unnecessary trade-off between promoting sparsity and reducing bias. In the end, your reconstructed network ends up with a bunch of fake edges. 👎 Besides being slow and annoying to use... 6/N

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Tiago Peixoto

@tiagopeixoto

2 years

What a sorry state of affairs... Study with 161 social science researchers working on the *exact same data* reach radically different conclusions, almost symmetrically distributed among positive/negative effect. 1/5

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Tiago Peixoto

@tiagopeixoto

5 months

We're hiring! Tenure-track Assistant Professor at @dnds_ceu @ceu , in Vienna. The focus is on social data science, social network science, or quantitative social science — broadly interpreted. Deadline: February 20, 2024 For questions, get in touch!

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Tiago Peixoto

@tiagopeixoto

7 months

“Linear regression is my passion.”

Jonathan Portes

@jdportes

7 months

9. And even more important high non-EU migration seems to be positively associated with productivity

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Tiago Peixoto

@tiagopeixoto

7 years

"Modelling sequences and temporal networks with dynamic community structures" w/ @m_rosvall is out at @naturecomms

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Tiago Peixoto

@tiagopeixoto

7 years

New introduction to Bayesian stochastic blockmodeling!

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Tiago Peixoto

@tiagopeixoto

3 years

Outstanding! I have never been a big fan of the Nobel Prize, but can't help being very happy about this one.

The Nobel Prize

@NobelPrize

3 years

Giorgio Parisi – awarded this year’s #NobelPrize in Physics – discovered hidden patterns in disordered complex materials. His discoveries are among the most important contributions to the theory of complex systems.

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Tiago Peixoto

@tiagopeixoto

3 years

Quick, suspend COVID!

Covid eight times more likely to cause rare brain clot than AstraZeneca vaccine, study finds

‘Covid-19 risk is higher than seen with current vaccines, even for those under 30,’ says study co-author

www.independent.co.uk

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Tiago Peixoto

@tiagopeixoto

4 years

@_jgyou True visa interview in the US consulate a while back: - What do you do? - I'm a Physicist. - What do you actually research? - Networks, complex systems, statistical physics. - Oh, is this related to Markov Chains? - !!!..... yes?

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Tiago Peixoto

@tiagopeixoto

2 years

Just got the new book by @dorogovtsev & @jffmendes : “The Nature of Complex Networks.” Looks fantastic! Humbled to see my name in the “shout outs” and have a few of my papers cited. As someone who admired the authors' towering work as a PhD student way back, this feels surreal.

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Tiago Peixoto

@tiagopeixoto

3 years

New on the @arxiv : "Descriptive vs. inferential community detection: pitfalls, myths and half-truths" This is a selected review of the many dangers of using descriptive methods (e.g. modularity) with inferential goals, and existing solutions. 1/2

Descriptive vs. inferential community detection in networks:...

Community detection is one of the most important methodological fields of network science, and one which has attracted a significant amount of attention over the past decades. This area deals with...

arxiv.org

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Tiago Peixoto

@tiagopeixoto

2 years

Stupid robot.

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Tiago Peixoto

@tiagopeixoto

3 years

The diameter of the earth, according to graph theorists.

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Tiago Peixoto

@tiagopeixoto

4 years

Network data format alignment chart.

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Tiago Peixoto

@tiagopeixoto

2 years

It's worse than this. It's a tiny side project at google without any public oversight that has become a central piece of academic infrastructure. We clearly need a free and open version of google scholar, with accountability, an actual API, etc. Imagine how cool that would be.

SIAM Activity Group on Dynamical Systems

@DynamicsSIAM

2 years

@aliceschwarze Also, it's amusing that people seem to act like Google Scholar is some big project. It's a _tiny_ thing.

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Tiago Peixoto

@tiagopeixoto

3 years

More than 60 *thousand* human brain networks 🧠 have just been added to the Netzschleuder network repository! @netzschleuder Enjoy:

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Tiago Peixoto

@tiagopeixoto

2 years

Dear academia, before your least favorite billionaire buys off @SlackHQ , you might want to take a look at @element_hq , a free, decentralized and secure alternative based on @matrixdotorg . There is a free internet out there — we just need to use it!

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Tiago Peixoto

@tiagopeixoto

1 year

Every point @lpachter makes about the unredeemable failures of UMAP is also valid for community detection in networks using modularity maximization. The main difference is that with community detection we actually have robust inferential alternatives:

Descriptive vs. inferential community detection in networks:...

Community detection is one of the most important methodological fields of network science, and one which has attracted a significant amount of attention over the past decades. This area deals with...

arxiv.org

Lior Pachter

@lpachter

1 year

Kind of sucks when you've been telling people publicly that they should abandon UMAPs because they can be misleading and don't provide a faithful representation of the data... and then you look at a UMAP and it's really useful. 1/3

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Tiago Peixoto

@tiagopeixoto

8 years

Due to popular demand, graph-tool now has a HOWTO on statistical inference in networks!

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Tiago Peixoto

@tiagopeixoto

2 years

Finally out on @PhysRevX : "Disentangling homophily, community structure and triadic closure in networks" It presents a tractable inference method to separate triadic closure from group-level preference. Code here:

Disentangling Homophily, Community Structure, and Triadic Closure in Networks

A method for analyzing networks can distinguish between two commonly conflated mechanisms for generating connections between nodes, thus improving understanding of how various networks form.

journals.aps.org

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Tiago Peixoto

@tiagopeixoto

10 months

How about this set if 10⁶ x 10-dimensional points sampled i.i.d. from a Zipf distribution? Does the manual say anything about that? Keep increasing the number of points, and watch the medusa get more interesting. Friends don't let friends interpret UMAP plots.

Will Macnair

@willmacnair

10 months

There are lots of interesting things to say about dimred algs but this is pure clickbait. UMAP + t-SNE are for high-dimensional data with many points. This plot is exactly the same toy ex, but the data is 100 * 1e4. Read the user guide before you use a tool, it's not hard🤷‍♂️

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Tiago Peixoto

@tiagopeixoto

2 months

New blog post (not April fools!): “Hidden models and latent compression in community detection” This an overdue post on a joint work with @captainkirk1041 published last year.

Tiago P. Peixoto - Hidden models and latent compression in community detection

Inferential Network Science

skewed.de

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Tiago Peixoto

@tiagopeixoto

3 years

🚨Job Alert🚨 We're hiring an Assistant or Associate Professor in Machine Learning and Data Science to join us at @dnds_ceu in Vienna, Austria! 🇦🇹 We're searching for an expert in social data and/or network science. Deadline: March 31

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Tiago Peixoto

@tiagopeixoto

1 year

@graph_tool 's documentation has just gotten a facelift! Besides an overall re-organization, now there's a new and improved quick start guide. Check it out and tell your friends!

Welcome to graph-tool’s documentation!

graph-tool is an efficient Python module for manipulation and statistical analysis of graphs(a.k.a. networks). The graph_tool module provides a Graph class and several algorithms that operate on it....

graph-tool.skewed.de

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Tiago Peixoto

@tiagopeixoto

1 year

@deaneckles Not critical enough by a long shot... It's amazing how some researchers/field seem to have a fast lane to vanity journals like nature. They desk reject everything and then somehow let go through sloppy analyses like this.

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Tiago Peixoto

@tiagopeixoto

5 years

The Department of Network and Data Science @dnds_ceu at the Central European University @ceu is announcing *FIVE* fully funded fellowships for its PhD Program in Network Science! 👩‍🎓 Application deadline is: January 30 2020 📢

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Tiago Peixoto

@tiagopeixoto

5 years

Tip of the day: Did you know you can install and use graph-tool using @GoogleColab ? This means you can use it without a local install, and collaborate with other people. See the (simple) instructions here: From that example you just start using it!

Using graph-tool in Colaboratory

Run, share, and edit Python notebooks

colab.research.google.com

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Tiago Peixoto

@tiagopeixoto

6 years

Just out on @SciReports : "Change points, memory and epidemic spreading in temporal networks" Simultaneous modelling of multiple time scales accurately represents epidemic spreading on temporal networks. Joint work with @laetitiagvn , @ISI_Fondazione .

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Tiago Peixoto

@tiagopeixoto

4 years

🚨Hot news for those interested in the statistics of networks and/or social systems! 👩‍🔬📉 We are hiring an Assistant or Associate Professor in Applied Statistics at the Department of Network and Data Science @dnds_ceu at CEU @ceu , in Vienna, Austria 🇦🇹!

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Tiago Peixoto

@tiagopeixoto

8 years

A new version of graph-tool has been released! #SNA #python #networks

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Tiago Peixoto

@tiagopeixoto

1 year

This is excellent. Now @PhysRevLett is explicitly embracing machine learning and neural networks as valid topics in physics. @PhysRevX and @PhysRevE should follow suit. We need more ML work with a physics flavor. @APSphysics could offer a great counterpart to CS venues.

Physical Review Letters

@PhysRevLett

1 year

Our new section on Statistical Physics; Classical, Nonlinear, and Complex Systems:

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Tiago Peixoto

@tiagopeixoto

1 year

When comparing with the null model they compute only the z-score, getting values at most 4 or so. It's also besides the point — as usual, small meaningless deviations from the null model can be statistically “significant.” Effect size ≠ statistical significance.

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Tiago Peixoto

@tiagopeixoto

1 year

It's *awesome* that arxiv requires LaTeX source files, and *everyone* knows they are public, a fact they make abundantly clear in the upload instructions — and it's also obvious. Having the LaTeX source for *millions* of papers is a major public treasure, let's not lose it.

Arvind Narayanan

@random_walker

1 year

Yes, it's funny that this happened to a rather pompous paper, but we should be talking about the fact that it's just awful that arXiv requires uploading LaTeX and doesn't make sufficiently clear that it will be public, despite thousands of authors getting tripped up for decades.

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Tiago Peixoto

@tiagopeixoto

5 years

@drugmonkeyblog Data hoarder: "I fail to grasp the most basic scholarly obligations as a scientist, and think that those that profit from my work are leeches, and not 'actual scientists'." Other scientists:

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Tiago Peixoto

@tiagopeixoto

11 months

Friendly reminder that modularity maximization is not a good way of uncovering communities in networks. It overfits and underfits massively — yields no information on statistical significance at all — and is heavily biased in important ways. #netsci2023

Tiago P. Peixoto - Modularity maximization considered harmful

Inferential Network Science

skewed.de

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Tiago Peixoto

@tiagopeixoto

4 years

Fresh out on @PhysRevResearch : "Statistical inference of assortative community structures" Explainer thread here:

Tiago Peixoto

@tiagopeixoto

4 years

New on the @arxiv : "Statistical inference of assortative community structures" With my student Lizhi Zhang, we show how you can use Bayesian inference to uncover statistically significant assortative communities in networks. 1/7

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Tiago Peixoto

@tiagopeixoto

3 years

Great demonstration of synchronization with resonance.

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Tiago Peixoto

@tiagopeixoto

3 years

The schedule for the "Statistical Inference for Network Models" symposium ( @Networks2021 satellite) is already up at: Come and join us on June 23!

Statistical Inference for Network Models

A NetSci 2024 Satellite Symposium

sinm.network

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Tiago Peixoto

@tiagopeixoto

3 years

This is a very interesting work from @jacomyma , the creator of @Gephi , about network visualization! He articulates many ideas about network visualization, from a point of view that is very new to me. I have not read it all yet but I'm enjoying it. 1/8

Mathieu Jacomy

@jacomyma

3 years

My PhD thesis is titled Situating Visual Network Analysis, and I will defend it June the 1st at 12:00 CET in Copenhagen. It will be accessible to an online audience. I will provide additional details when I have them. Download:

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Tiago Peixoto

@tiagopeixoto

3 months

I'm happy to see the name of my country on the food, instead of on the bombs.

Sarah Musa

@MasaMwsy32320

3 months

A child's joy in Gaza after receiving chicken 😭😭😭😭😭😭😭💔

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Tiago Peixoto

@tiagopeixoto

3 years

So, I've heard that social networks are out, and blogs are in... So I've made one! First post: "Is network reconstruction impossible?"

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Tiago Peixoto

@tiagopeixoto

3 years

Pathetic, worthless argument. Everyone started with a single paper. And credentials *do not matter* in science. This is not a church, or the army. This only goes to show how well educated and successful scientists can be abysmally asinine and vile.

Michael Levitt

@MLevitt_NP2013

3 years

Senior scientist work hard & write hundreds of papers to earn recognition. Social media & preprint servers are turning a model successful for hundreds of years up-side-down. Compare data reported by Google Scholar before dismissing giants like John Ioannidis. Shame on MIT.

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Tiago Peixoto

@tiagopeixoto

3 years

Woot! My 2019 paper "Network reconstruction and community detection from dynamics" is trending in @PhysRevLett ! Read it (for free!) here: Here's the explainer thread: Code documentation is here:

Inferring modular network structure

graph-tool includes algorithms to identify the large-scale structure of networks via statistical inference in the inference submodule. Here we explain the basic functionality with self-contained...

graph-tool.skewed.de

Physical Review Letters

@PhysRevLett

3 years

#PRLtrending for the week of 2021-02-08 #physics #trending (2019) #freetoread

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Tiago Peixoto

@tiagopeixoto

9 months

It was always clear that graph neural networks don't actually need the graph for most tasks and don't perform so well when the node features are not doing the heavy lifting. But it seems that often including the graph makes things *worse*:

Graph Neural Networks Use Graphs When They Shouldn't

Predictions over graphs play a crucial role in various domains, including social networks and medicine. Graph Neural Networks (GNNs) have emerged as the dominant approach for learning on graph...

arxiv.org

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Tiago Peixoto

@tiagopeixoto

1 month

Periodic reminder that using modularity maximization for network data analysis is virtually always a bad idea, in any context, and that superior inferential methods have existed for a long time.

Tiago P. Peixoto - Modularity maximization considered harmful

Inferential Network Science

skewed.de

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Tiago Peixoto

@tiagopeixoto

7 years

Slides of my lecture on "Statistical inference of network structure", given at @MscxNetworks

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Tiago Peixoto

@tiagopeixoto

8 years

A new version of graph-tool has been released! #Python #SNA #networks

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Tiago Peixoto

@tiagopeixoto

11 months

🚨Job alert! 🚨 We are looking for an Assistant Professor to join our department @dnds_ceu at @ceu , in Vienna, Austria! Spread the word! Application Deadline: September 15, 2023 #networkscience #netsci2023

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Tiago Peixoto

@tiagopeixoto

2 years

Really nice short lecture on the ideas and history of complexity. I'm always in awe at @pholme 's encyclopedic knowledge of the history of science, in particular complex systems and networks. He is second to none! @pholme When are you writing a book about this? Can I pre-order?

Petter Holme

@pholme

2 years

An introduction video to the history and ideas of complexity science and networks in 20 min🥴 (from a recent guest teaching)

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Tiago Peixoto

@tiagopeixoto

27 days

Certainly does not seem to emerge by the accumulation of capital.

Tsarathustra

@tsarnick

27 days

Sam Altman says we have stumbled on a new fact of nature: that intelligence is an emergent property of matter

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Tiago Peixoto

@tiagopeixoto

3 years

For those wondering, a SBM fit of a network with 10^6 edges () on a laptop takes around 2 minutes for the simplest model (planted partition) and around 19 minutes for the most complex (nested SBM). All with statistical regularization... No overfitting!

dblp_coauthor_snap — DBLP authors (2012)

A coauthorship network extracted from the DBLP computer science manuscript database, in 2012. This network is a one-mode projection from the bipartite graph of computer scientists and their publica...

networks.skewed.de

Tiago Peixoto

@tiagopeixoto

3 years

A new version of graph-tool is out! @graphtool It includes a 5x speedup of the SBM inference multilevel algorithm for principled community detection! Let it rip on your very large networks! See the HOWTO here: 1/3

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Tiago Peixoto

@tiagopeixoto

4 years

We're looking for an associate or full professor in Machine Learning to join our department @dnds_ceu ! We're looking for researchers invested in social or behavioral data and/or at the interface with network science. Come and join @ceu in @Stadt_Wien !

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Tiago Peixoto

@tiagopeixoto

3 years

@ylecun @matthen2 @gabrielpeyre This is true, but it is not the most convincing explanation. The reversible trajectory is *possible* but exponentially suppressed due to the overwhelming number of non-reversible alternatives. The simulation chose this particular one, but it would never be observed in practice.

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Tiago Peixoto

@tiagopeixoto

3 years

The city of Sāo Paulo, with a population bigger than entire Austria, just reached 100% of adults fully vaccinated. Yet, here I am in Vienna under a lockdown, with only 65% of the population vaccinated.

Mônica Bergamo

@monicabergamo

3 years

URGENTE - CIDADE DE SAO PAULO CHEGA A 100% DE ADULTOS VACINADOS. "VITORIA E MATURIDADE", DIZ SECRETARIO EDSON APARECIDO:

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Tiago Peixoto

@tiagopeixoto

3 years

They don't make people like Carl Sagan anymore.

CarlSaganDotCom

@carlsagandotcom

3 years

Carl Sagan testifying before Congress in 1985 on how the greenhouse effect will change the global climate system. “I think what is essential for this problem is a global consciousness. A view that transcends our exclusive identifications” 36 years later, did we listen to Carl?

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Tiago Peixoto

@tiagopeixoto

4 years

@ramencult It's not just that it costs money, Matlab is proprietary. You want to understand how it works? You can't. Do you want to improve it and share the improvement with the world? It's illegal. Using Matlab (or any proprietary software) is anathema to science.

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Tiago Peixoto

@tiagopeixoto

4 years

I developed a model-free algorithm that extracts features from data, without any prior assumption about how it is generated. ⓘ 𝗢𝗳𝗳𝗶𝗰𝗶𝗮𝗹 𝘀𝗼𝘂𝗿𝗰𝗲𝘀 𝘀𝘁𝗮𝘁𝗲𝗱 𝘁𝗵𝗮𝘁 𝗶𝘀 𝗳𝗮𝗹𝘀𝗲 𝗮𝗻𝗱 𝗺𝗶𝘀𝗹𝗲𝗮𝗱𝗶𝗻𝗴

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