Geometric Deep Learning Extension Library for PyTorch
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Mar 3, 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
natural-language-processing
deep-neural-networks
reinforcement-learning
computer-vision
deep-learning
optimization
machine-translation
deep-reinforcement-learning
medical-imaging
speech-recognition
artificial-neural-networks
pattern-recognition
probabilistic-graphical-models
bayesian-statistics
artificial-intelligence-algorithms
visual-recognition
graph-neural-networks
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Feb 18, 2021
Python package built to ease deep learning on graph, on top of existing DL frameworks.
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Mar 3, 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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Feb 28, 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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Jul 29, 2020 - C++
Graph Neural Networks with Keras and Tensorflow 2.
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Mar 3, 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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Jan 13, 2021 - Jupyter Notebook
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
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Jun 13, 2020 - Jupyter Notebook
SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)
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Nov 19, 2020 - Python
A unified, comprehensive and efficient recommendation library
recommendations
deep-learning
pytorch
collaborative-filtering
knowledge-graph
recommendation-system
recommender-systems
ctr-prediction
graph-neural-networks
sequential-recommendation
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Mar 3, 2021 - Python
Benchmark datasets, data loaders, and evaluators for graph machine learning
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Mar 3, 2021 - Python
ktrain is a Python library that makes deep learning and AI more accessible and easier to apply
python
nlp
machine-learning
computer-vision
deep-learning
tensorflow
keras
tabular-data
graph-neural-networks
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Mar 2, 2021 - Jupyter Notebook
How Powerful are Graph Neural Networks?
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Aug 6, 2020 - Python
Pytorch Repo for "DeepGCNs: Can GCNs Go as Deep as CNNs?" ICCV2019 Oral https://www.deepgcns.org
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Feb 8, 2021 - Python
CogDL: An Extensive Research Toolkit for Graphs
leaderboard
pytorch
link-prediction
graph-embedding
graph-classification
node-classification
graph-neural-networks
pytorch-geometric
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Mar 3, 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
KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019
knowledge-graph
recommender-system
graph-attention-networks
graph-neural-networks
kdd2019
high-order-connectivity
knowledge-based-recommendation
knowledge-aware-recommendation
explainable-recommendation
embedding-propagation
knowledge-graph-dataset
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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Mar 3, 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
lidongze0629
commented
Feb 20, 2021
Is your feature request related to a problem? Please describe.
Only the latest version of the document is supported in the GraphScope document, however, users cannot see any traces about the previously released.
Describe the solution you'd like
It could be great if this version number could be tied into the actually released docs.
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
louvain
metis
graph-convolutional-networks
gcn
graph-clustering
node2vec
node-classification
graphsage
graph-neural-networks
graph2vec
diff2vec
gemsec
musae
graph-convolution
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Feb 11, 2021 - Python
machine-learning
natural-language-processing
computer-vision
deep-learning
generative-model
semi-supervised-learning
graph-neural-networks
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Feb 11, 2021
[AAAI 2019] Source code and datasets for "Session-based Recommendation with Graph Neural Networks"
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Jul 24, 2019 - Python
A Graph Neural Network Library in Jax
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Jan 27, 2021 - Python
A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)
machine-learning
research
deep-learning
tensorflow
sklearn
pytorch
deepwalk
convolutional-neural-networks
representation-learning
gcn
iclr
graph-representation
node2vec
graph-convolutional-network
graphsage
graph-neural-networks
graph-wavelet
graph-convolution
gwnn
pygsp
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Feb 11, 2021 - Python
Source code and dataset for ACL 2019 paper "Cognitive Graph for Multi-Hop Reading Comprehension at Scale"
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Mar 22, 2020 - 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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Mar 2, 2021 - 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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Mar 3, 2021 - Python
PyTorch Extension Library of Optimized Graph Cluster Algorithms
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Mar 3, 2021 - C++
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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/