Graph Neural Network Library for PyTorch
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Sep 14, 2021 - Python
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graph-neural-networks
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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
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computer-vision
deep-learning
optimization
machine-translation
deep-reinforcement-learning
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speech-recognition
artificial-neural-networks
pattern-recognition
probabilistic-graphical-models
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visual-recognition
graph-neural-networks
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Sep 11, 2021
Python package built to ease deep learning on graph, on top of existing DL frameworks.
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Sep 14, 2021 - Python
links to conference publications in graph-based deep learning
deep-learning
graph
neural-networks
graph-convolutional-networks
graph-neural-networks
graph-representation-learning
conference-publications
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Sep 6, 2021 - Jupyter Notebook
A distributed graph deep learning framework.
deep-learning
graph
network-embedding
random-walk
graph-convolutional-networks
gcn
node2vec
graph-embedding
graph-learning
graphsage
graph-neural-networks
ggnn
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Apr 19, 2021 - C++
Graph Neural Networks with Keras and Tensorflow 2.
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Sep 2, 2021 - Python
Repository for benchmarking graph neural networks
deep-learning
pytorch
benchmark-framework
graph-neural-networks
graph-representation-learning
dgl
graph-deep-learning
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Jul 29, 2021 - Jupyter Notebook
SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)
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Aug 8, 2021 - Python
A unified, comprehensive and efficient recommendation library
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pytorch
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ctr-prediction
graph-neural-networks
sequential-recommendation
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Sep 10, 2021 - Python
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
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Jun 13, 2020 - Jupyter Notebook
Benchmark datasets, data loaders, and evaluators for graph machine learning
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Aug 26, 2021 - Python
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
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temporal-graphs
pypi-url
pypi-image
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Sep 11, 2021 - Python
GraphScope: A One-Stop Large-Scale Graph Computing System from Alibaba
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Sep 14, 2021 - Rust
An Industrial Graph Neural Network Framework
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Sep 10, 2021 - C++
ktrain is a Python library that makes deep learning and AI more accessible and easier to apply
python
nlp
machine-learning
computer-vision
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graph-neural-networks
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Sep 3, 2021 - Jupyter Notebook
CogDL: An Extensive Toolkit for Deep Learning on Graphs
leaderboard
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link-prediction
graph-embedding
graph-classification
node-classification
graph-neural-networks
gnn-model
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Sep 14, 2021 - Python
How Powerful are Graph Neural Networks?
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Jul 1, 2021 - Python
machine-learning
natural-language-processing
computer-vision
deep-learning
generative-model
semi-supervised-learning
graph-neural-networks
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Jul 26, 2021
Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org
data-mining
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pytorch
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Aug 6, 2021 - Python
KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019
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kdd2019
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knowledge-graph-for-recommendation
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Aug 5, 2020 - Python
An autoML framework & toolkit for machine learning on graphs.
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Sep 8, 2021 - Python
A Graph Neural Network Library in Jax
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Sep 14, 2021 - Python
resources for graph convolutional networks （图卷积神经网络相关资源）
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Jul 12, 2019
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
[AAAI 2019] Source code and datasets for "Session-based Recommendation with Graph Neural Networks"
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Mar 19, 2021 - Python
A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
deep-learning
neural-network
clustering
community-detection
pytorch
deepwalk
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graph2vec
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graph-convolution
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Sep 4, 2021 - Python
A pytorch adversarial library for attack and defense methods on images and graphs
machine-learning
deep-neural-networks
deep-learning
defense
graph-mining
graph-convolutional-networks
adversarial-examples
adversarial-attacks
graph-neural-networks
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Sep 13, 2021 - Python
Strategies for Pre-training Graph Neural Networks
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Aug 11, 2021 - Python
A curated list of fraud detection papers using graph information or graph neural networks
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awsome-list
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Aug 24, 2021
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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/