"Graph Low-Rank Adapters of High Regularity for Graph Neural Networks and Graph Transformers" by PantelisPapageorgiou, Haitz Sáez de Ocáriz Borde, Anastasis Kratsios, @mmbronstein.bsky.social

Paper: openreview.net/forum?id=gxh...
Code: github.com/PanPapag/GCo...

#graphneuralnetworks

"Towards Quantifying Long-Range Interactions in Graph Maine Learning: a Large Graph Dataset and a Measurement" by Huidong Liang, Haitz Sáez de Ocáriz Borde, Baskaran Sripathmanathan, @mmbronstein.bsky.social, Xiaowen Dong

Paper: arxiv.org/abs/2503.09008

#graphneuralnetworks #machinelearning

#diffusionmodels

"The Jungle of Generative Drug Discovery: Traps, Treasures, and Ways Out" by Rıza Özçelik, @fragrisoni.bsky.social

Paper: arxiv.org/abs/2501.05457

#machinelearning

"Tutorial on Diffusion Models for Imaging and Vision" by Stanley Chan

Paper: arxiv.org/abs/2403.18103

#machinelearning #diffusionmodels

"Task Singular Vectors: Reducing Task Interference in Model Merging" by Antonio Andrea Gargiulo, @crisostomi.bsky.social , @mariasofiab.bsky.social , @sscardapane.bsky.social, Fabrizio Silvestri, Emanuele Rodolà

Paper: arxiv.org/abs/2412.00081
Code: github.com/AntoAndGar/t...

#machinelearning

"EM Distillation for One-step Diffusion Models" by Sirui Xie, Zhisheng Xiao, @dpkingma.bsky.social, Tingbo Hou, Ying Nian Wu, Kevin Murphy, Tim Salimans, Ben Poole, @ruiqigao.bsky.social

Paper: arxiv.org/abs/2405.16852

#machinelearning #diffusionmodels

“Gratitude is a noble virtue. Live with gratitude and your heart will expand.” - Stephen R. Covey

Happy Thanksgiving to everyone who celebrates!

#happythanksgiving

Graph Neural Networks Do Not Always Oversmooth" by Bastian Epping, Alexandre René, Moritz Helias, and Michael Schaub

Paper: arxiv.org/abs/2406.02269

#graphneuralnetworks

"Trajectory Flow Matching with Applications to Clinical Time Series Modeling" by Xi Zhang, Yuan Pu, Yuki Kawamura, Andrew Loza, @yoshuabengio.bsky.social, Dennis Shung, Alexander Tong

Paper: arxiv.org/abs/2410.21154
#machinelearning

"gRNAde: Geometric Deep Learning for 3D RNA inverse design" by @chaitjo.bsky.social , @arian-jamasb.bsky.social, Ramon Viñas, Charles Harris, Simon Mathis, Alex Morehead, Rishabh Anand, and Pietro Liò

Paper: www.biorxiv.org/content/10.1...

Code: github.com/chaitjo/geom...

#geometricdeeplearning

"Enhancing the Expressivity of Temporal Graph Networks through Source-Target Identification" Benedict Aaron Tjandra, Federico Barbero, @mmbronstein.bsky.social

#graphneuralnetworks

"Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges" by @mmbronstein.bsky.social, Joan Bruna, Taco Cohen, @petar-v.bsky.social

#geometricdeeplearning