Geometric Deep Learning Extension Library for PyTorch
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Aug 24, 2020 - Python
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geometric-deep-learning
Here are 52 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
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
Pytorch Repo for "DeepGCNs: Can GCNs Go as Deep as CNNs?" ICCV2019 Oral https://www.deepgcns.org
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Aug 14, 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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Aug 19, 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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Jan 17, 2020 - Python
PyTorch Extension Library of Optimized Graph Cluster Algorithms
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Aug 24, 2020 - C++
MaSIF- Molecular surface interaction fingerprints. Geometric deep learning to decipher patterns in molecular surfaces.
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Jun 15, 2020 - Python
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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Aug 21, 2020 - Python
SGAS: Sequential Greedy Architecture Search (CVPR'2020) https://www.deepgcns.org/auto/sgas
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Jul 13, 2020 - Python
Geometric Deep Learning for Flux
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Aug 24, 2020 - Julia
Geom-GCN: Geometric Graph Convolutional Networks
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Feb 10, 2020 - Python
Implementation of Deep Graph Matching Consensus in PyTorch
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Jun 20, 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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Dec 16, 2019 - Python
A PyTorch Graph Neural Network Library
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Aug 20, 2020 - Python
Implementation of the Spline-Based Convolution Operator of SplineCNN in PyTorch
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Jul 31, 2020 - C++
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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Aug 21, 2020 - Jupyter Notebook
Source code for CVPR 2018 Oral paper "Surface Networks"
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Jan 29, 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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Aug 25, 2020 - 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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Jul 14, 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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Mar 31, 2020 - Python
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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Jun 4, 2020 - Python
ben-xD
commented
Aug 10, 2020
In examples/inference.py, how do I calculate stats passed to unNormalizeData() from evo_skeleton.dataset.h36m.data_utils import unNormalizeData, as I am using my own images, and can't create a new stats.npy for my images. I would eventually like to pass video to it too.
Thanks in advance
Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]
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Aug 20, 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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Jul 21, 2019 - Cuda
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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Feb 25, 2020 - Jupyter Notebook
Hierarchical Inter-Message Passing for Learning on Molecular Graphs
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Jun 23, 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/