Our paper was accepted to #ICLR2025! ๐
Project page: github.com/NGMLGroup/Ma...
01.02.2025 09:14 โ ๐ 4 ๐ 0 ๐ฌ 0 ๐ 0
๐ฅ Bayesian nonparametrics meets pooling in GNNs! ๐ฅ
This is the first clustering-based pooling method that learns and dynamically adapts the size of the pooled graph to input and downstream task.
๐ paper: arxiv.org/abs/2501.09821
๐ป code: github.com/NGMLGroup/Ba...
21.01.2025 20:01 โ ๐ 2 ๐ 0 ๐ฌ 0 ๐ 0
1/3 - Pooling in Graph Neural Networks
November 2024
Just published a new blog on ๐ฑ Pooling in #GraphNeuralNetworks!
๐กLearn the fundamentals through this gentle introduction and discover how they can improve your GNN applications.
๐ Check it out here: gnn-pooling.notion.site
#GNN #MachineLearning #AI
19.12.2024 15:51 โ ๐ 3 ๐ 2 ๐ฌ 0 ๐ 0
*Pooling in graph neural networks*
My friend FM Bianchi made an awesome introduction to GNNs and pooling techniques over graphs, full of nice visuals and details! ๐ฅ
gnn-pooling.notion.site/1-3-pooling-...
19.12.2024 15:10 โ ๐ 10 ๐ 4 ๐ฌ 0 ๐ 0
Head of Research @ Simular. Professor @ UC Santa Cruz. Working on #Multimodal #Embodied #AIAgents. AI for Humanity in the long run. he/him
๐Bay Area ๐ https://eric-xw.github.io
International Conference on Learning Representations https://iclr.cc/
San Diego Dec 2-7, 25 and Mexico City Nov 30-Dec 5, 25. Comments to this account are not monitored. Please send feedback to townhall@neurips.cc.
Postdoc at @ellisalicante.org
๐ PhD in CS at @ellis.eu Alicante
โ๏ธ Algorithmic Fairness and Trustworthy AI
๐ธ๏ธ Graph Neural Networks
๐ https://adrian-arnaiz.netlify.app/
Gradient surfer at UCL. FR, EN, also trying ES. ๐น๐ผ๐จ๐ฆ๐ฌ๐ณ๐บ๐ธ๐ฉ๐ด๐ซ๐ท๐ช๐ธ๐ฌ๐ง๐ฟ๐ฆ. Also on Twitter.
@RWTH. Previously, @Mila_Quebec, @mcgillu, @polymtl, and @TU_Dortmund. Working on learning with graphs and ML for combinatorial optimization.
https://luis-mueller.github.io
Graph Machine Learning and Graph Mining
Assistant Professor (Lecturer) in Data Science
Lancaster University Leipzig
https://pwelke.de
Postdoctoral Fellow at Technion โ Geometric Deep Learning in some of its various forms โ PhD at Imperial College London โ Previously Twitter, Fabula AI and Politecnico di Milanoใ ๅฟ ใ๐
I post mainly about Neuroscience, Machine Learning, Complex Systems, or Stats papers.
Working on neural learning /w @auksz.bsky.social CCNB/BCCN/Free University Berlin.
I also play bass in a pop punk band:
https://linktr.ee/goodviewsbadnews
Assistant professor at Tรฉlรฉcom Paris, Institut Polytechnique de Paris ๐จ๐ต๐จ๐ด. #GeometricDeepLearning #ComputerVision https://jhonygiraldo.github.io/
Founder at blockquiry. http://mirror.xyz/ervinzubic.eth; http://medium.com/@ervin.zubic;
Tenure-track astronomer at STScI/JHU working on galaxies, machine learning, and AI for scientific discovery. Opinions my own. He/him.
Website: https://jwuphysics.github.io/
materials, machine learning, microelectronics, energy, quantum sensing. and other fun stuff in life. Physicist originally from Sevilla living in the US Midwest. ๐งชโ๏ธ
Researcher in machine learning and optimization. Open source enthusiast. Parody songwriter (aka PianoHamster). OCD survivor.
Professor at EPFL. Une mathรฉmaphysinformaticienne. Passionate mushroom hunter. Tamer of two little dragons.
AI/ML for Science & DeepTech | PI of the AI for Materials Lab | Prof. of Physics at UAM. https://bravoabad.substack.com/
Senior Research Scientist at NEC. PhD in CS @ UniPi, Bayesian Deep Learning for Graphs. Trying to do Science ๐, not SotA ๐ฅ.
PhD Student at IDSIA USI-SUPSI ๐จ๐ญ
Machine Learning on spatiotemporal data ๐โณ
