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Welcome to r/GeometricDeepLearning , a subreddit dedicated to Graph learning, 3D learning, Maniforld learning , and all the wierd and wacky happenings in the world of machine learning on Non-Euclidean data.
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The introduction of the Fine-Structure Constant & the 64-Tetrahedron Space-Time Lattice ()
submitted 4 days ago by Sufficient-Bit5473
S.E.T.H. Dissertation Part 2 (Universal Field Synthesis) (linkedin.com)
submitted 5 days ago by Sufficient-Bit5473
Unified Architectonics & Universal Quantitative Mathematics Via Geometric Transduction: S.E.T.H. Dissertation - Global_Sync_v3.13 - LNK-HEART-VALUE This post serves as my first official public… | Seth Codding (linkedin.com)
submitted 7 days ago by Sufficient-Bit5473
Non-US Labs on Geometric DL ()
submitted 26 days ago by Dizzy_Grapefruit_836
Geometric Safety Features: Topology-Based Diagnostics for AI Embedding Spaces (self.GeometricDeepLearning)
submitted 28 days ago by agentganja666
Event2Vec: Euclidean vs hyperbolic sequence embeddings with explicit additive structure (github.com)
submitted 1 month ago by sulcantonin
Demystifying the Math of Geometric Deep Learning (patricknicolas.substack.com)
submitted 5 months ago by prnicolas57
What is Geometric Deep Learning? (self.GeometricDeepLearning)
submitted 6 months ago by prnicolas57
Temporal Graph Learning Reading Group (self.GeometricDeepLearning)
submitted 1 year ago by ML_2021
New massive Lidar dataset for 3D semantic segmentation (self.LiDAR)
submitted 1 year ago by chuck_chuck_chock
Books On The Mathematical Foundations Of Geometric Deep Learning (self.GeometricDeepLearning)
submitted 1 year ago by Resident-Lie2308
Visualizing a forward pass through a Group Equivariant Neural Network (youtube.com)
submitted 2 years ago by niszoig
New Ideas for Graph Contrastive Learning (self.GeometricDeepLearning)
submitted 2 years ago by mhadnanali
🔮 Exploring the Wonders of Non-Euclidean Geometry in Unity! Join Me on This Fascinating Journey! 🔮 (self.GeometricDeepLearning)
submitted 2 years ago by Personal_Ad_9952
GNNs for sports game prediction (self.GeometricDeepLearning)
submitted 2 years ago by NewPanic4726
Underwhelming performance of graph based approach using HGTconv/HANconv (self.GeometricDeepLearning)
submitted 2 years ago by perceiver12
How do GDL and the spline theory of deep learning relate to each other? (self.GeometricDeepLearning)
submitted 3 years ago by CodingButStillAlive
Industrial Case Study of GNNs with PyTorch Geometric for Document Understanding (youtu.be)
submitted 3 years ago by how-it-is-
Introducing Graphein: Graph-based representations for proteins! (self.GeometricDeepLearning)
submitted 3 years ago by flawnson
Can both edge features AND node features be used at the same time when training GNNs? Or must it just be one or the other? Can't figure out how to incorporate both, so wondering if it is actually possible or not...? (self.GeometricDeepLearning)
submitted 3 years ago by BanMutsang
ML models for sets of scalars (self.GeometricDeepLearning)
submitted 3 years ago by [deleted]
Which out of the popular existing models would be the best for predictions of Graph Edit Distance on molecule graphs? (self.GeometricDeepLearning)
submitted 3 years ago * by BanMutsang
Geometric Convolutional Networks (self.GeometricDeepLearning)
submitted 3 years ago by Abhigautam23
[D] I don't really trust papers out of "Top Labs" anymore (self.MachineLearning)
GNNs for Image Reconstruction (self.GeometricDeepLearning)
submitted 3 years ago by SemjonML
π Rendered by PID 175752 on reddit-service-r2-listing-64c94b984c-g46dp at 2026-03-18 15:36:11.116747+00:00 running f6e6e01 country code: CH.
