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seeslab.bsky.social
SEES Lab
@seeslab.bsky.social
Marta Sales-Pardo & Roger Guimerà. Complex systems & networks; Statiscal learning; Comput. social science; Systems biology at @universitatURV @icreacommunity
Reposted by SEES Lab
🚀A ICREA tornem a estar actius a les xarxes socials! Parlarem de:

✨ Nous descobriments de la #ComunitatICREA
📢 Convocatòries
🎉 Esdeveniments i congressos
🧪 I molta recerca d'excel·lència!

Segueix-nos a X x.com/icreacommunity i LinkedIn www.linkedin.com/company/icrea i no et perdis cap novetat!
October 1, 2025 at 9:18 AM
Reposted by SEES Lab
🧵
1/ New from @reeserichardson.bsky.social, @jabyrnesci.bsky.social, and our lab in @pnas.org :

A growing body of evidence shows that "systematic" scientific fraud is an emerging threat to the integrity of science.

Our latest study investigates how this fraud is organized and sustained.
August 4, 2025 at 8:47 PM
Reposted by SEES Lab
New paper out in Briefings in Bioinformatics

📰SingleFrag: a deep learning tool for MS/MS fragment and spectral prediction and metabolite annotation academic.oup.com/bib/article/...
SingleFrag: a deep learning tool for MS/MS fragment and spectral prediction and metabolite annotation
Abstract. Metabolite and small molecule identification via tandem mass spectrometry (MS/MS) involves matching experimental spectra with prerecorded spectra
academic.oup.com
July 14, 2025 at 2:54 PM
New paper out in Briefings in Bioinformatics

📰SingleFrag: a deep learning tool for MS/MS fragment and spectral prediction and metabolite annotation academic.oup.com/bib/article/...
SingleFrag: a deep learning tool for MS/MS fragment and spectral prediction and metabolite annotation
Abstract. Metabolite and small molecule identification via tandem mass spectrometry (MS/MS) involves matching experimental spectra with prerecorded spectra
academic.oup.com
July 14, 2025 at 2:54 PM
Reposted by SEES Lab
SingleFrag: a deep learning tool for MS/MS fragment and spectral prediction and metabolite annotation #BriedBioinform academic.oup.com/bib/article/...
SingleFrag: a deep learning tool for MS/MS fragment and spectral prediction and metabolite annotation
Abstract. Metabolite and small molecule identification via tandem mass spectrometry (MS/MS) involves matching experimental spectra with prerecorded spectra
academic.oup.com
July 11, 2025 at 6:39 PM
Reposted by SEES Lab
Thanks 🙏🙏 @martikagv.bsky.social @vcolizza.bsky.social @pessoabrain.bsky.social @asteixeira.bsky.social @gomezgardenes.bsky.social @seeslab.bsky.social (and all the speakers not in this platform) for their amazing contribution to make this edition a reference for young Network Scientists.
July 5, 2025 at 10:11 AM
Reposted by SEES Lab
@mscxnetworks.bsky.social ended.

A week of cutting edge complexity science, from foundations to applications. Amazing speakers and great cohort of attendants.

One of the best editions ever. 10 years of passion, love and network science.

In an amazing piece of #Sicily

youtu.be/Nh5vrEKheH0?...
July 5, 2025 at 10:11 AM
Reposted by SEES Lab
Manuel Ruiz-Botella, Marta Sales-Pardo, Roger Guimer\`a: A collaborative constrained graph diffusion model for the generation of realistic synthetic molecules https://arxiv.org/abs/2505.16365 https://arxiv.org/pdf/2505.16365 https://arxiv.org/html/2505.16365
May 23, 2025 at 6:06 AM
New preprint out in the arXiv!

We introduce #CoCoGraph, a collaborative and constrained graph diffusion model capable of generating molecules that are guaranteed to be chemically valid www.arxiv.org/abs/2505.16365
A collaborative constrained graph diffusion model for the generation of realistic synthetic molecules
Developing new molecular compounds is crucial to address pressing challenges, from health to environmental sustainability. However, exploring the molecular space to discover new molecules is difficult...
www.arxiv.org
June 25, 2025 at 2:15 PM
💡Our paper on probabilistic alignment of networks has been highlighted by Nature Communications as one the 50 best papers recently published in the area of Applied physics and mathematics www.nature.com/collections/...

📰Read the paper www.nature.com/articles/s41...
Applied physics and mathematics
The highlights include but are not limited to the research areas of electronics, optoelectronics, computing technologies and theories, soft matter physics, ...
www.nature.com
June 18, 2025 at 10:19 AM
At #NetSci2025 @netsciconf.bsky.social today? Don't miss Gemma Bel's poster at the Network Neuroscience satellite

📰Model-based alignment of developing connectomes
📍FaSos GG76S 1.018
🕔5:30pm
June 2, 2025 at 7:58 AM
At #NetSci2025? Don't miss Teresa Lazaros's talk today at the Network Neuroscience satellite

📰 Probabilistic network alignment applied to brain connectomes
📍 FaSos GG76S 1.018
🕔 5pm

🔗 to paper: dx.doi.org/10.1038/s414...
June 2, 2025 at 7:57 AM
At #NetSci2025 today? Don't miss Manuel Ruiz-Botella's talk at the @netbiomed2025.bsky.social‬ satellite

📰 CoCoGraph: A collaborative constrained graph diffusion model for the generation of realistic synthetic molecules
📍 FaSos FaSoS GG76 1.02
🕒 3:30pm

🔗 to paper: doi.org/10.48550/arX...
June 2, 2025 at 7:56 AM
‘Data manipulations’ alleged in study that paved the way for Microsoft’s quantum chip | Science | AAAS www.science.org/content/arti...
‘Data manipulations’ alleged in study that paved the way for Microsoft’s quantum chip
Internal emails from 2021 reveal tensions among researchers hunting for elusive Majorana particle
www.science.org
May 12, 2025 at 5:16 AM
Reposted by SEES Lab
Reposted by SEES Lab
We're looking for a new colleague to join us in Maastricht as an Assistant/Associate Professor in statistical learning in our Data Analytics and Digitalisation department.

Deadline to apply: June 8th

vacancies.maastrichtuniversity.nl/job/Maastric...
Assistant/Associate Professor in Statistical Learning
Assistant/Associate Professor in Statistical Learning
vacancies.maastrichtuniversity.nl
May 6, 2025 at 8:42 PM
Reposted by SEES Lab
New substack post: I discuss a recent innovative method—ProbAlign, introduced by Lázaro, Guimerà, & Marta Sales-Pardo—which uses probabilistic modeling to achieve more accurate, transparent, and flexible network alignments. open.substack.com/pub/bravoaba...
How probabilistic modeling transforms our approach to aligning complex networks
Networks are everywhere—from social connections among individuals, neural connections in brains, interactions among proteins in biological cells, to communication channels within large organizations.
open.substack.com
May 3, 2025 at 2:31 PM
Reposted by SEES Lab
Probabilistic approach to the problem of network alignment, as well as the corresponding inference algorithms.

www.nature.com/articles/s41...
Probabilistic alignment of multiple networks - Nature Communications
Network alignment is a fundamental problem in several domains that aims at mapping nodes across networks. Here, the authors develop a probabilistic approach that assumes that observed networks are err...
www.nature.com
May 1, 2025 at 6:24 AM
Reposted by SEES Lab
This is such a cool paper!

Everyone interested in aligning (multiple, possibly unlabelled) graphs, give it a read!
April 29, 2025 at 8:50 AM
📰New paper out in @natcomms.nature.com! We have developed a probabilistic approach that allows for the accurate alignment of multiple networks

www.nature.com/articles/s41...

Great work by Teresa Lázaro on her first article (of many to come)!

Some highlights 👇🏽🧵
Probabilistic alignment of multiple networks - Nature Communications
Network alignment is a fundamental problem in several domains that aims at mapping nodes across networks. Here, the authors develop a probabilistic approach that assumes that observed networks are err...
www.nature.com
April 30, 2025 at 2:56 PM
Reposted by SEES Lab
Nat. Commun.: Probabilistic alignment of multiple networks
https://www.nature.com/articles/s41467-025-59077-7
April 28, 2025 at 11:36 AM