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geometric-deep-learning
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Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
machine-learning
natural-language-processing
deep-neural-networks
reinforcement-learning
computer-vision
deep-learning
optimization
probability
deep-reinforcement-learning
medical-imaging
speech-recognition
artificial-neural-networks
pattern-recognition
probabilistic-graphical-models
bayesian-statistics
artificial-intelligence-algorithms
visual-recognition
geometric-deep-learning
explainable-ai
graph-neural-networks
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Apr 10, 2022 - HTML
adocherty
commented
Nov 27, 2019
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/
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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Feb 22, 2022 - 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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Feb 16, 2022 - 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 Extension Library of Optimized Graph Cluster Algorithms
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Apr 20, 2022 - C++
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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Oct 22, 2021 - Python
A PyTorch and TorchDrug based deep learning library for drug pair scoring.
machine-learning
deep-learning
chemistry
geometry
biology
torch
pytorch
drug-discovery
drug
smiles
pharma
geometric-deep-learning
graph-neural-network
drug-interaction
polypharmacy
smiles-strings
deep-chemistry
drug-pair
torchdrug
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Mar 29, 2022 - 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
Apr 30, 2022 - 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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Sep 30, 2021 - Python
a-r-j
commented
Mar 8, 2022
Describe the solution you'd like
- inputs for chain selection as a separate .txt file
- Input as list of PDB codes (txt file) rather than PDB directory path
GraphGallery is a gallery for benchmarking Graph Neural Networks (GNNs).
graph
models
pytorch
adversarial-machine-learning
pyg
geometric-deep-learning
graph-neural-networks
dgl
graphgallery
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Apr 14, 2022 - Python
A PyTorch Graph Neural Network Library
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Feb 1, 2022 - Python
MaSIF- Molecular surface interaction fingerprints. Geometric deep learning to decipher patterns in molecular surfaces.
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Mar 23, 2021 - Python
Geometric Deep Learning for Flux
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May 19, 2022 - Julia
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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Sep 22, 2021 - Python
Code for the paper 'An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem' (INFORMS Annual Meeting Session 2019)
deep-learning
pytorch
combinatorial-optimization
travelling-salesman-problem
geometric-deep-learning
graph-neural-networks
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Feb 10, 2022 - 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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Jun 5, 2021 - Python
Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022
graphs
transformers
attention
representation-learning
molecules
message-passing
lspe
geometric-deep-learning
graph-neural-networks
graph-representation-learning
gnn
graph-deep-learning
positional-encoding
graph-transformer
transformer-networks
gnn-lspe
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Updated
Feb 10, 2022 - Python
Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]
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Updated
May 9, 2021 - Python
PyNeuraLogic lets you use Python to create Differentiable Logic Programs
python
machine-learning
deep-learning
pytorch
logic-programming
relational-learning
geometric-deep-learning
differentiable-programming
graph-neural-networks
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May 17, 2022 - 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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Apr 6, 2022 - Python
Implementation of the Spline-Based Convolution Operator of SplineCNN in PyTorch
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Mar 25, 2022 - C++
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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Sep 30, 2021 - Python
Curvlearn, a Tensorflow based non-Euclidean deep learning framework.
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Apr 24, 2022 - 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
Source code for CVPR 2018 Oral paper "Surface Networks"
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Jan 29, 2020 - Python
A review of papers proposing novel GNN methods with application to brain connectivity published in 2017-2020.
biomarker
gans
brain-connectivity
geometric-deep-learning
gnns
network-neuroscience
gnn
graph-neural-network
graph-fusion
graph-synthesis
graph-prediction
brain-disorders
graph-superresolution
predictive-intelligence
graph-integration
graph-timeseries
brain-gnn
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Updated
Jan 14, 2022
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Motivation
paper "LEARNING TO REPRESENT PROGRAMS WITH GRAPHS" which encode computer programs as graphs, with rich semantic information, however, most code implementation on this dataset VarMisuse is based on TensorFlow, like [tf-gnn-samples](https://github.com/microsof