SEES Lab
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!
- 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.
- 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/...
- Identifying metabolites in MS/MS data often means matching experimental spectra with existing spectral libraries. But, with limited libraries, identifying unknowns remains a big hurdle in #metabolomics
- Here, we present #SingleFrag, a novel deep learning tool that predicts individual MS/MS fragments separately, rather than attempting to predict the entire fragmentation spectrum at once
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View full threadYet another great collaboration with @oyanes.bsky.social
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- 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?...
- Reposted by SEES LabManuel Ruiz-Botella, Marta Sales-Pardo, Roger Guimer\`a: A collaborative constrained graph diffusion model for the generation of realistic synthetic molecules arxiv.org/abs/2505.16365 arxiv.org/pdf/2505.16365 arxiv.org/html/2505.16365
- 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
- #CoCoGraph outperforms state-of-the-art approaches on standard benchmarks while requiring up to an order of magnitude fewer parameters
- Leveraging the model’s efficiency, we created a database of 8.2M synthetically generated molecules and conducted a Turing-like test with organic chemistry experts to further assess the plausibility of the generated molecules, and potential biases and limitations of #CoCoGraph
- Great work by first author Manuel Ruiz-Botella!
- 💡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...
- 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
- 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...
- 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...
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- ‘Data manipulations’ alleged in study that paved the way for Microsoft’s quantum chip | Science | AAAS www.science.org/content/arti...
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- Reposted by SEES LabWe'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...
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- Reposted by SEES LabThis is such a cool paper! Everyone interested in aligning (multiple, possibly unlabelled) graphs, give it a read!
- Probabilistic alignment of multiple networks www.nature.com/articles/s41...
- 📰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 👇🏽🧵
- With respect to existing methods for "graph matching": 1️⃣ Our approach naturally allows for the alignment of many networks 2️⃣ All assumptions are explicit and can be adapted to specific scenarios 3️⃣ It results in a posterior over alignments, rather than a single alignment
- As a consequence of these, our approach leads to better alignment than the state of the art on synthetic and real networks
- 🧠Our work was inspired by the need to align brain connectomes at the neuron level 💡But we show that our approach is also valid for other applications in computational social science and complex systems, and opens the door for further context-specific developments
- Reposted by SEES LabProbabilistic alignment of multiple networks www.nature.com/articles/s41...
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- Our recent article on machine learning mathematical models for incidence estimation during pandemics, featured in today's edition of @manlius.bsky.social's Complexity Thoughts!
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- Can simple closed-form mathematical models predict human mobility as well as deep learning? In a new paper in @naturecomms.bsky.social we show that the answer is YES Human mobility is well described by closed-form gravity-like models learned automatically from data www.nature.com/articles/s41...
- Great collaboration with @lluisdanus.bsky.social and @estebanmoro.bsky.social!
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- During a pandemic such as COVID19, we hope (but fail) to accurately estimate the incidence of the disease. In this paper, we propose a new approach to machine-learn models of the real incidence from readily available information (tests and detected cases) dx.doi.org/10.1371/jour...
- Joint work with Oscar Fajardo-Fontiveros, Mattia Mattei, @giulioburgio.bsky.social, Clara Granell, Sergio Gómez and Alex Arenas
- Reposted by SEES Lab📣 New paper in Nature Human Behavior @natureportfolio.bsky.social! Using large-scale mobility data, we find how businesses, amenities, and other urban places depend on each other. It reveals connections that aren’t always visible but have substantial economic impacts. www.nature.com/articles/s41...
- Reposted by SEES LabThe call for the very special 10th Mediterranean School of Complex Networks is out! @mscxnetworks.bsky.social This year, it will take place in Ortigia, a beautiful small island in Syracuse, Italy. The lineup of lecturers is outstanding! All info in the website: mediterraneanschoolcomplex.net
- Reposted by SEES Lab🚨Job alert!🚨 Come join us at the Inverse Complexity Lab @invcomplexity.skewed.de We’re hiring a post-doctoral researcher to join our group at IT:U, Linz, Austria. skewed.de/lab/call.html Deadline is 30 Nov 2024. (Next Saturday!) Spread the word. #networkscience #complexsystems
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- Reposted by SEES LabA starter pack for researchers interested in #ComplexSystems. Complex system science investigates how interactions among multiple parts lead to collective behaviour, as well as how the system interacts and forms links with its environment - please add your name! go.bsky.app/FNYZ61yat://did:plc:2h6sozflgpxnnccr2s63yvj2/app.bsky.graph.starterpack/3lar7u6gism2w
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- Reposted by SEES LabWe are hiring a postdoc/researcher at my group (SUNLab) @nunetsi.bsky.social. Interested in working on multidisciplinary problems like segregation, health, or economic growth from the perspective of Social Urban Networks? Contact me if you are interested. Please share it!
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