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Search results for geometric deep learning
geometric-deep-learning
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102 search results found
Pytorch_geometric
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20,093
Graph Neural Network Library for PyTorch
Deep Learning Drizzle
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10,767
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Stellargraph
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2,768
StellarGraph - Machine Learning on Graphs
Meshcnn
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1,211
Convolutional Neural Network for 3D meshes in PyTorch
Pypose
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1,103
A library for differentiable robotics.
Deep_gcns_torch
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940
Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org
Graphein
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932
Protein Graph Library
Pytorch_cluster
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700
PyTorch Extension Library of Optimized Graph Cluster Algorithms
Chemicalx
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657
A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)
Dgl Lifesci
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558
Python package for graph neural networks in chemistry and biology
Typedb Ml
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550
TypeDB-ML is the Machine Learning integrations library for TypeDB
Graphgallery
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440
GraphGallery is a gallery for benchmarking Graph Neural Networks.
Geometricflux.jl
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334
Geometric Deep Learning for Flux
Geometric Gnn Dojo
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307
Geometric GNN Dojo provides unified implementations and experiments to explore the design space of Geometric Graph Neural Networks.
Ptgnn
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305
A PyTorch Graph Neural Network Library
Pyneuralogic
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261
PyNeuraLogic lets you use Python to create Differentiable Logic Programs
Torch Quiver
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256
PyTorch Library for Low-Latency, High-Throughput Graph Learning on GPUs.
Relation Shape Cnn
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252
Relation-Shape Convolutional Neural Network for Point Cloud Analysis (CVPR 2019 Oral & Best paper finalist)
Escnn
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251
Equivariant Steerable CNNs Library for Pytorch https://quva-lab.github.io/escnn/
Difformer
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204
The official implementation for ICLR23 spotlight paper "DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion"
Evoskeleton
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198
Official project website for the CVPR 2020 paper (Oral Presentation) "Cascaded deep monocular 3D human pose estimation wth evolutionary training data"
Masif
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196
MaSIF- Molecular surface interaction fingerprints. Geometric deep learning to decipher patterns in molecular surfaces.
Deviant
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176
[ECCV 2022] Official PyTorch Code of DEVIANT: Depth Equivariant Network for Monocular 3D Object Detection
Deep Graph Matching Consensus
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170
Implementation of "Deep Graph Matching Consensus" in PyTorch
Pytorch_spline_conv
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160
Implementation of the Spline-Based Convolution Operator of SplineCNN in PyTorch
Graph Convnet Tsp
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157
Code for the paper 'An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem' (INFORMS Annual Meeting Session 2019)
Gnns In Network Neuroscience
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141
A review of papers proposing novel GNN methods with application to brain connectivity published in 2017-2020.
Deepergnn
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138
Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]
Pyg Lib
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137
Low-Level Graph Neural Network Operators for PyG
Awesome Topological Deep Learning
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131
A curated list of topological deep learning (TDL) resources and links.
Sgas
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129
SGAS: Sequential Greedy Architecture Search (CVPR'2020) https://www.deepgcns.org/auto/sgas
Cliffordlayers
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126
Graph Convolution On Structured Documents
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121
This repo contains code to convert Structured Documents to Graphs and implement a Graph Convolution Neural Network for node classification
Deltaconv
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119
Code for the SIGGRAPH 2022 paper "DeltaConv: Anisotropic Operators for Geometric Deep Learning on Point Clouds."
Gnn Lspe
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114
Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022
Sgl
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106
A scalable graph learning toolkit for extremely large graph datasets. (WWW'22, 🏆 Best Student Paper Award)
Curvature Learning Framework
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97
Curvlearn, a Tensorflow based non-Euclidean deep learning framework.
Awesome Molecular Docking
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85
We would like to maintain a list of resources which aim to solve molecular docking and other closely related tasks.
Hsn
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81
Code for SIGGRAPH paper CNNs on Surfaces using Rotation-Equivariant Features
Densepoint
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80
DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing (ICCV 2019)
Surfacenetworks
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77
Source code for CVPR 2018 Oral paper "Surface Networks"
Mxmnet
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66
Source code for "Molecular Mechanics-Driven Graph Neural Network with Multiplex Graph for Molecular Structures"
Pesto
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64
Geometric deep learning method to predict protein binding interfaces from a protein structure.
Litmatter
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55
Rapid experimentation and scaling of deep learning models on molecular and crystal graphs.
Himp Gnn
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53
Hierarchical Inter-Message Passing for Learning on Molecular Graphs
Ogc
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50
🔥OGC in PyTorch (NeurIPS 2022)
Sphericart
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48
Multi-language library for the calculation of spherical harmonics in Cartesian coordinates
Geometric Rna Design
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44
gRNAde: Geometric Deep Learning for RNA Design
Kpconv.pytorch
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44
PyTorch reimplementation for "KPConv: Flexible and Deformable Convolution for Point Clouds" https://arxiv.org/abs/1904.08889
Differentiable Frechet Mean
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43
[ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).
Graphood Gnnsafe
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42
The official implementation for ICLR23 paper "GNNSafe: Energy-based Out-of-Distribution Detection for Graph Neural Networks"
Growsp
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41
🔥GrowSP in PyTorch (CVPR 2023)
Doc2graph
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41
Doc2Graph transforms documents into graphs and exploit a GNN to solve several tasks.
Overlapping Community Detection
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40
Implementation of "Overlapping Community Detection with Graph Neural Networks"
Building Dataset Generator
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39
Procedural 3D data generation pipeline for architecture
Geoldm
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38
Geometric Latent Diffusion Models for 3D Molecule Generation
Acm Gnn
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36
NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN framework
Physics Aware Multiplex Gnn
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35
Code for our Nature Scientific Reports paper "A universal framework for accurate and efficient geometric deep learning of molecular systems"
Alignet
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35
code to train a neural network to align pairs of shapes without needing ground truth warps for supervision
Deepinteract
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33
A geometric deep learning pipeline for predicting protein interface contacts.
Geometric Gnns
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27
List of Geometric GNNs for 3D atomic systems
Malnet Graph
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27
A large-scale database for graph representation learning
Haiku Geometric
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26
A collection of graph neural networks implementations in JAX
Txgnn
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23
TxGNN: Zero-shot prediction of therapeutic use with geometric deep learning and clinician centered design
Pinnacle
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18
Contextualizing protein representations using deep learning on protein networks and single-cell data
Marble
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17
Package for the data-driven representation of non-linear dynamics over manifolds based on a statistical distribution of local phase portrait features. Includes specific example on dynamical systems, synthetic- and real neural datasets. https://agosztolai.github.io/MARBLE/
Cellshape
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17
3D shape analysis using deep learning
Multigraphgan
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17
MultiGraphGAN for predicting multiple target graphs from a source graph using geometric deep learning.
Parametricscatteringnetworks
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16
Research Code for our CVPR 2022 Parametric Scattering Netowks paper
Gp
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16
🏭 Geometry Processing at LMU Munich
Dgn
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16
How to fuse a population of graphs into a single one using graph neural networks?
Geoconv
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15
A Python library for end-to-end learning on surfaces. It implements pre-processing functions that include geodesic algorithms, neural network layers that operate on surfaces, visualization tools and benchmarking functionalities.
Gd Vae
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15
Geometric Dynamic Variational Autoencoders (GD-VAEs) for learning embedding maps for nonlinear dynamics into general latent spaces. This includes methods for standard latent spaces or manifold latent spaces with specified geometry and topology. The manifold latent spaces can be based on analytic expressions or general point cloud representations.
Lri
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15
[ICLR 2023] Learnable Randomness Injection (LRI) for interpretable Geometric Deep Learning.
Scatteringgcn
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14
Scattering GCN: overcoming oversmoothness in graph convolutional networks
Gaunt Tensor Product
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14
[ICLR 2024 Spotlight] Official Implementation of "Enabling Efficient Equivariant Operations in the Fourier Basis via Gaunt Tensor Products"
Spectral Universality
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13
Official PyTorch and JAX Implementation of "Harmonics of Learning: Universal Fourier Features Emerge in Invariant Networks"
Simplicial_neural_networks
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13
Simplicial neural networks (SNNs), a generalization of graph neural networks to data that live on a class of topological spaces called simplicial complexes.
Graphmixernetworks
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13
Official Implementation of Graph Mixer Networks
Egnca
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12
Official implementation of E(n)-equivariant Graph Neural Cellular Automata
Ligand_generation
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12
Target-aware Variational Auto-encoders for Ligand Generation with Multimodal Protein Representation Learning
Ggan
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11
Generative adversarial network for normalizing and predicting time-dependent graphs with respect to a fixed template.
Bowelnet
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11
[TMI 2022] BowelNet: Joint Semantic-Geometric Ensemble Learning for Bowel Segmentation from Both Partially and Fully Labeled CT Images
Laplacian2mesh
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10
Laplacian2Mesh: Laplacian-Based Mesh Understanding
Equivariant Nn Zoo
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10
A library for building equivariant neural networks and a zoo of implementations & examples.
Learning Paradigms For Tsp
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10
Code for the paper 'On Learning Paradigms for the Travelling Salesman Problem' (NeurIPS 2019 Graph Representation Learning Workshop)
Diffusion Hopping
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9
DiffHopp: A Graph Diffusion Model for Novel Drug Design via Scaffold Hopping
Evographnet
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8
EvoGraphNet for graph time-series forecasting from a single timepoint.
Sympa
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8
Embedding graphs in symmetric spaces
Fishergcn
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8
Fisher-Bures Adversary Graph Convolutional Networks
Graph4stackoverflow
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8
Graph Neural Networks for Expertise Classification on Stack Overflow
Fieldconv
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6
Official implementation of Field Convolutions for Surface CNNs [ICCV 2021 Oral]
Gcr
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6
Official repository for ICCV 2023: Get the Best of Both Worlds: Improving Accuracy and Transferability by Grassmann Class
Dockgame
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6
DockGame: Cooperative Games for Multimeric Rigid Protein Docking
Deepretinotopy
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5
Code for predicting retinotopy from anatomy using geometric deep learning. See paper for more --> https://www.sciencedirect.com/science/article/pii/
Gyrospd
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5
GyroSPD: Vector-valued Distance and Gyrocalculus on the Space of Symmetric Positive Definite Matrices
Hada
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5
HADA (Hiearachical Adversarial Domain Alignment) for brain graph prediction and classification.
Mongenet
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5
MongeNet sampler official implementation
Gsr Net
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5
Graph SuperResolution Network using geometric deep learning.
Reproduciblefedgnn
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5
Investigating the reproducibility of federated GNN models
1-100 of 102 search results
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