Geometric Deep Learning Extension Library for PyTorch
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Jul 26, 2021 - Python
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geometric-deep-learning
Here are 85 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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Updated
Mar 9, 2020 - Python
Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org
data-mining
bioinformatics
computer-vision
cheminformatics
social-network
pytorch
3d-point-clouds
science-research
geometric-deep-learning
graph-neural-networks
deep-gcns
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Updated
Jul 20, 2021 - Python
Tensorflow Repo for "DeepGCNs: Can GCNs Go as Deep as CNNs?" ICCV2019 Oral https://www.deepgcns.org
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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
May 31, 2021 - Python
PyTorch Extension Library of Optimized Graph Cluster Algorithms
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Updated
Jul 3, 2021 - C++
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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Jan 17, 2020 - Python
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
Jul 19, 2021 - Python
A PyTorch Graph Neural Network Library
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Updated
Jul 25, 2021 - Python
MaSIF- Molecular surface interaction fingerprints. Geometric deep learning to decipher patterns in molecular surfaces.
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Updated
Mar 23, 2021 - Python
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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Jul 24, 2021 - Jupyter Notebook
Geometric Deep Learning for Flux
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Updated
Jul 27, 2021 - TeX
GraphGallery is a gallery for benchmarking Graph Neural Networks (GNNs) and Graph Adversarial Learning with TensorFlow 2.x and PyTorch backend.
graph
tensorflow
models
pytorch
adversarial-machine-learning
geometric-deep-learning
graph-neural-networks
graph-adversarial-learning
graphgallery
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Jul 15, 2021 - Python
Official project website for the CVPR 2020 paper (Oral Presentation) "Cascaded deep monocular 3D human pose estimation wth 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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Jul 10, 2021 - Python
Implementation of "Deep Graph Matching Consensus" in PyTorch
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Updated
Jun 20, 2020 - Python
SGAS: Sequential Greedy Architecture Search (CVPR'2020) https://www.deepgcns.org/auto/sgas
bioinformatics
computer-vision
3d-point-clouds
automl
neural-architecture-search
geometric-deep-learning
graph-neural-networks
deep-gcns
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Updated
Jun 5, 2021 - Python
Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]
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Updated
May 9, 2021 - Python
Code for the paper 'An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem' (INFORMS Annual Meeting 2019)
deep-learning
pytorch
combinatorial-optimization
travelling-salesman-problem
geometric-deep-learning
graph-neural-networks
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Updated
May 21, 2021 - 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
Implementation of the Spline-Based Convolution Operator of SplineCNN in PyTorch
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Updated
Jun 26, 2021 - C++
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
Jun 8, 2021 - Python
Source code for CVPR 2018 Oral paper "Surface Networks"
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Updated
Jan 29, 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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Updated
Sep 25, 2020 - Jupyter Notebook
Code for SIGGRAPH paper CNNs on Surfaces using Rotation-Equivariant Features
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Updated
Apr 12, 2021 - Python
PyTorch reimplementation for "KPConv: Flexible and Deformable Convolution for Point Clouds" https://arxiv.org/abs/1904.08889
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Updated
Jul 9, 2020 - C++
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
Jan 3, 2021 - Python
[ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).
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Jul 14, 2020 - Python
Procedural 3D data generation pipeline for architecture
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Updated
Jul 10, 2021 - 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/