MΛRCOS COLEBROOK
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marcoscolebrook.bsky.social
MΛRCOS COLEBROOK
@marcoscolebrook.bsky.social
Prof. ULL • #Graphs • #Bioinformatics: http://iongap.hpc.iter.es | http://tinyurl.com/NanoDJ
Reposted by MΛRCOS COLEBROOK
🚨 We’re recruiting organizers for LoG 2025!

Join us in shaping the next Learning on Graphs conference at UCLA this fall.

Passionate about graph ML & building community? Apply by Apr 11 (AOE) 🌍

📋 Form: docs.google.com/forms/d/e/1F...

🏠LoG website: logconference.org
LinkedIn
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lnkd.in
April 2, 2025 at 9:27 AM
Reposted by MΛRCOS COLEBROOK
A new graph machine learning model, TREE, enhances the prediction of cancer driver genes by integrating multi-omics data and network analysis, potentially advancing personalized cancer therapies. doi.org/g82pmq
Graph machine learning model shows potential for predicting cancer genes
The World Health Organization reports a steady increase in cancer patients worldwide, marking it as a major health threat.
medicalxpress.com
January 21, 2025 at 3:33 PM
Reposted by MΛRCOS COLEBROOK
My lab and I are looking to take an applied class on Graph Machine Learning, similar to this Stanford class: web.stanford.edu/class/cs224w/.

Any suggestions?
January 9, 2025 at 4:00 AM
Reposted by MΛRCOS COLEBROOK
Algorithm (asymptotic) complexity typically measures time or space required as input size grows. They are measured against a model of computation, typically a Turing machine or variations.
January 10, 2025 at 6:00 AM
Reposted by MΛRCOS COLEBROOK
Slides of my presentation "Mathematical Foundations of Graph Foundation Models" yesterday at the AMS Session of the #JMM2025. The accompanying paper is coming soon.
www.cs.purdue.edu/homes/ribeir...
January 9, 2025 at 10:39 PM
Reposted by MΛRCOS COLEBROOK
We organise a thematic day on Graph Machine Learning and Graph Neural Networks at IHP in Paris on March 31st. Please consider submitting abstracts!

It'll be fun 🤓

Free mandatory registration:
gdr-iasis.cnrs.fr/reunions/app...
Apprentissage et Graphes - GdR IASIS
Lire la suite
gdr-iasis.cnrs.fr
January 9, 2025 at 9:58 AM
Reposted by MΛRCOS COLEBROOK
Gfa2bin enables graph-based GWAS by converting genome graphs to pan-genomic genotypes
www.biorxiv.org/content/10.1...
Gfa2bin enables graph-based GWAS by converting genome graphs to pan-genomic genotypes
Variation graphs offer superior representation of genomic diversity compared to traditional linear reference genomes, capturing complex features that are otherwise inaccessible to analysis. It seems s...
www.biorxiv.org
December 14, 2024 at 7:35 AM
Reposted by MΛRCOS COLEBROOK
Verkko2: Integrating proximity ligation data with long-read De Bruijn graphs for efficient telomere-to-telomere genome assembly, phasing, and scaffolding https://www.biorxiv.org/content/10.1101/2024.12.20.629807v1
December 23, 2024 at 2:49 AM
Reposted by MΛRCOS COLEBROOK
The paper I spoke about at the #NeurIPS2024 ML for Systems workshop is now on arxiv arxiv.org/abs/2412.15573! We use multi-agent RL to solve a classic combinatorial optimization problem (the Sequential Assignment Problem), by combining MARL with a classical polynomial time assignment algorithm. 1/3
January 2, 2025 at 10:32 PM
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Hi folks! I'm excited to be on BlueSky! I'm looking forward to posting about computer science research, ML, scientific advances, tasty food, nature, and making groan-worthy puns.
January 5, 2025 at 9:48 PM
Reposted by MΛRCOS COLEBROOK
Here is an initial starter pack list on Machine Learning on Graphs: go.bsky.app/HN2MTzp
Machine Learning on Graphs
Join the conversation
go.bsky.app
November 16, 2024 at 1:09 AM