Geometric Deep Learning Extension Library for PyTorch
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Dec 14, 2020 - Python
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geometric-deep-learning
Here are 70 public repositories matching this topic...
Convolutional Neural Network for 3D meshes in PyTorch
machine-learning
computer-graphics
pytorch
mesh
segmentation
convolutional-neural-networks
3d
geometric-deep-learning
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Mar 9, 2020 - Python
Pytorch Repo for "DeepGCNs: Can GCNs Go as Deep as CNNs?" ICCV2019 Oral https://www.deepgcns.org
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Dec 3, 2020 - Python
Tensorflow Repo for "DeepGCNs: Can GCNs Go as Deep as CNNs?" ICCV2019 Oral https://www.deepgcns.org
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Updated
Jan 23, 2020 - Python
Grakn Knowledge Graph Library (ML R&D)
python
machine-learning
ai
neural-network
graph
tensorflow
graphs
ml
artificial-intelligence
knowledge-graph
knowledgebase
knowledge-graph-completion
relational-learning
link-prediction
graph-convolutional-networks
grakn
graql
geometric-deep-learning
graph-networks
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Updated
Nov 10, 2020 - Python
Relation-Shape Convolutional Neural Network for Point Cloud Analysis (CVPR 2019 Oral & Best paper finalist)
deep-learning
artificial-intelligence
convolutional-neural-network
3d-graphics
3d-point-clouds
3d-convolutional-network
geometric-deep-learning
normal-estimation
3d-shape-segmentation
3d-shape-recognition
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Updated
Jan 17, 2020 - Python
PyTorch Extension Library of Optimized Graph Cluster Algorithms
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Updated
Dec 7, 2020 - C++
A Temporal Extension Library for PyTorch Geometric
deep-learning
network-science
pytorch
temporal-networks
spatial-analysis
spatial-data
network-embedding
spatio-temporal-analysis
graph-convolutional-networks
gcn
spatio-temporal-data
temporal-data
graph-embedding
geometric-deep-learning
graph-neural-networks
node-embedding
graph-convolution
gnn
temporal-graphs
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Dec 10, 2020 - Python
MaSIF- Molecular surface interaction fingerprints. Geometric deep learning to decipher patterns in molecular surfaces.
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Updated
Sep 10, 2020 - Python
A PyTorch Graph Neural Network Library
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Updated
Dec 7, 2020 - Python
Geometric Deep Learning for Flux
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Updated
Dec 13, 2020 - Julia
Protein Graph Library
bioinformatics
deep-learning
structural-biology
protein-data-bank
protein-structure
computational-biology
pytorch
protein
protein-design
geometric-deep-learning
graph-neural-networks
dgl
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Nov 15, 2020 - Jupyter Notebook
Python package for graph neural networks in chemistry and biology
bioinformatics
deep-learning
cheminformatics
molecule
drug-discovery
geometric-deep-learning
graph-neural-networks
dgl
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Updated
Dec 14, 2020 - Python
SGAS: Sequential Greedy Architecture Search (CVPR'2020) https://www.deepgcns.org/auto/sgas
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Updated
Dec 3, 2020 - Python
Implementation of Deep Graph Matching Consensus in PyTorch
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Updated
Jun 20, 2020 - Python
GraphGallery is a gallery for benchmarking Graph Neural Networks (GNNs) with TensorFlow 2.x and PyTorch backend.
graph
tensorflow
models
pytorch
graph-convolutional-networks
geometric-deep-learning
graph-neural-networks
graphgallery
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Updated
Dec 15, 2020 - Python
Official project website for the CVPR 2020 paper (Oral Presentation) "Cascaded Deep Monocular 3D Human Pose Estimation With Evolutionary Training Data"
deep-learning
dataset
evolutionary-algorithms
human-pose-estimation
data-augmentation
cvpr
synthetic-data
bias-correction
3d-human-pose
3d-computer-vision
geometric-deep-learning
3d-pose-estimation
2d-to-3d
smpl
feed-forward-neural-networks
kinematic-trees
cvpr2020
generalization-on-diverse-scenes
annotaton-tool
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Updated
Dec 8, 2020 - Python
DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing (ICCV 2019)
deep-learning
artificial-intelligence
convolutional-neural-networks
3d-graphics
3d-point-clouds
3d-convolutional-network
geometric-deep-learning
normal-estimation
3d-shape-segmentation
3d-shape-recognition
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Updated
Dec 16, 2019 - Python
Code for the paper 'An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem' (arXiv Pre-print)
deep-learning
pytorch
combinatorial-optimization
travelling-salesman-problem
geometric-deep-learning
graph-neural-networks
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Updated
Nov 13, 2020 - Python
Implementation of the Spline-Based Convolution Operator of SplineCNN in PyTorch
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Updated
Dec 1, 2020 - C++
Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]
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Updated
Aug 29, 2020 - Python
Source code for CVPR 2018 Oral paper "Surface Networks"
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Updated
Jan 29, 2020 - Python
This repo contains code to convert Structured Documents to Graphs and implement a Graph Convolution Neural Network for node classification
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Updated
Nov 18, 2020 - Python
Implementation of "Overlapping Community Detection with Graph Neural Networks"
community-detection
pytorch
overlapping-community-detection
geometric-deep-learning
graph-neural-networks
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Sep 25, 2020 - Jupyter Notebook
PyTorch reimplementation for "KPConv: Flexible and Deformable Convolution for Point Clouds" https://arxiv.org/abs/1904.08889
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Jul 9, 2020 - C++
Code for SIGGRAPH paper CNNs on Surfaces using Rotation-Equivariant Features
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Updated
Oct 22, 2020 - Python
code to train a neural network to align pairs of shapes without needing ground truth warps for supervision
machine-learning
deep-learning
computer-graphics
torch
shape-analysis
self-supervised
geometric-deep-learning
shape-alignment
shape-matching
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Updated
Jul 21, 2019 - Cuda
Hierarchical Inter-Message Passing for Learning on Molecular Graphs
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Updated
Oct 17, 2020 - Python
[ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).
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Jul 14, 2020 - Python
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Description
Currently our unit tests are disorganized and each test creates example StellarGraph graphs in different or similar ways with no sharing of this code.
This issue is to improve the unit tests by making functions to create example graphs available to all unit tests by, for example, making them pytest fixtures at the top level of the tests (see https://docs.pytest.org/en/latest/