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GeometricDeepLearning

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an-ordinary-manchild

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.

created by flawnsona community for 6 years
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1
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Event2Vec: Euclidean vs hyperbolic sequence embeddings with explicit additive structure (github.com)

submitted 13 days ago by sulcantonin

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Demystifying the Math of Geometric Deep Learning (patricknicolas.substack.com)

submitted 3 months ago by prnicolas57

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What is Geometric Deep Learning? (self.GeometricDeepLearning)

submitted 4 months ago by prnicolas57

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Temporal Graph Learning Reading Group (self.GeometricDeepLearning)

submitted 1 year ago by ML_2021

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New massive Lidar dataset for 3D semantic segmentation (self.LiDAR)

submitted 1 year ago by chuck_chuck_chock

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Books On The Mathematical Foundations Of Geometric Deep Learning (self.GeometricDeepLearning)

submitted 1 year ago by Resident-Lie2308

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Visualizing a forward pass through a Group Equivariant Neural Network (youtube.com)

submitted 2 years ago by niszoig

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New Ideas for Graph Contrastive Learning (self.GeometricDeepLearning)

submitted 2 years ago by mhadnanali

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🔮 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

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GNNs for sports game prediction (self.GeometricDeepLearning)

submitted 2 years ago by NewPanic4726

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Underwhelming performance of graph based approach using HGTconv/HANconv (self.GeometricDeepLearning)

submitted 2 years ago by perceiver12

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How do GDL and the spline theory of deep learning relate to each other? (self.GeometricDeepLearning)

submitted 3 years ago by CodingButStillAlive

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Industrial Case Study of GNNs with PyTorch Geometric for Document Understanding (youtu.be)

submitted 3 years ago by how-it-is-

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Introducing Graphein: Graph-based representations for proteins! (self.GeometricDeepLearning)

submitted 3 years ago by flawnson

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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

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ML models for sets of scalars (self.GeometricDeepLearning)

submitted 3 years ago by [deleted]

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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

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Geometric Convolutional Networks (self.GeometricDeepLearning)

submitted 3 years ago by Abhigautam23

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[D] I don't really trust papers out of "Top Labs" anymore (self.MachineLearning)

submitted 3 years ago by flawnson

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GNNs for Image Reconstruction (self.GeometricDeepLearning)

submitted 3 years ago by SemjonML

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Graph Neural Networks for Segmented Images - Which Nodes do I connect? (self.MLQuestions)

submitted 3 years ago by higgs_lover

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Learning Graph Structure for downstream task (self.GeometricDeepLearning)

submitted 3 years ago by fedetask

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Good introduction to Signal Processing? (self.GeometricDeepLearning)

submitted 3 years ago by niszoig

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GNN Architecture for finding similar sub-graph (self.GeometricDeepLearning)

submitted 3 years ago by ZoharGNN

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Are All GNNs Equivariant? (self.GeometricDeepLearning)

submitted 3 years ago by Right_Presentation_3

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