Geometric Deep Learning Extension Library for PyTorch
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Jul 17, 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!!
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probabilistic-graphical-models
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visual-recognition
graph-neural-networks
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May 21, 2021
Python package built to ease deep learning on graph, on top of existing DL frameworks.
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Jul 19, 2021 - Python
links to conference publications in graph-based deep learning
deep-learning
graph
neural-networks
graph-convolutional-networks
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graph-representation-learning
conference-publications
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Jul 9, 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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Jul 14, 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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May 2, 2021 - Jupyter Notebook
SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)
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May 12, 2021 - Python
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
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Jun 13, 2020 - Jupyter Notebook
A unified, comprehensive and efficient recommendation library
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collaborative-filtering
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ctr-prediction
graph-neural-networks
sequential-recommendation
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Jul 19, 2021 - Python
Benchmark datasets, data loaders, and evaluators for graph machine learning
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Jul 17, 2021 - Python
A Temporal Extension Library for PyTorch Geometric
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Jul 19, 2021 - Python
ktrain is a Python library that makes deep learning and AI more accessible and easier to apply
python
nlp
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tabular-data
graph-neural-networks
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Jul 16, 2021 - Jupyter Notebook
GraphScope: A One-Stop Large-Scale Graph Computing System from Alibaba
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Jul 19, 2021 - Java
How Powerful are Graph Neural Networks?
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Jul 1, 2021 - Python
Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org
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Jul 8, 2021 - Python
CogDL: An Extensive Toolkit for Deep Learning on Graphs
leaderboard
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pytorch-geometric
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Jul 19, 2021 - Python
machine-learning
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graph-neural-networks
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Jun 22, 2021
KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019
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Aug 5, 2020 - Python
An autoML framework & toolkit for machine learning on graphs.
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Jul 15, 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
A Graph Neural Network Library in Jax
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May 19, 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
[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).
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Jun 24, 2021 - Python
A pytorch adversarial library for attack and defense methods on images and graphs
machine-learning
deep-neural-networks
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Jun 28, 2021 - Python
A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)
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Jun 19, 2021 - Python
Strategies for Pre-training Graph Neural Networks
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Jul 19, 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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Jul 8, 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/