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graph-neural-networks
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rusty1s
opened
Sep 23, 2021
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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Sep 18, 2021 - HTML
Python package built to ease deep learning on graph, on top of existing DL frameworks.
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Sep 23, 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 23, 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++
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/
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
recommendations
deep-learning
pytorch
collaborative-filtering
knowledge-graph
recommender
recommendation-system
recommender-systems
ctr-prediction
graph-neural-networks
sequential-recommendation
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Sep 23, 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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Sep 15, 2021 - Python
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
deep-learning
network-science
pytorch
temporal-networks
spatial-analysis
spatial-data
spatiotemporal
network-embedding
spatio-temporal-analysis
graph-convolutional-networks
gcn
spatio-temporal-data
temporal-data
graph-embedding
graph-neural-networks
node-embedding
graph-convolution
gnn
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 23, 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
deep-learning
tensorflow
keras
tabular-data
graph-neural-networks
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Sep 3, 2021 - Jupyter Notebook
CogDL: An Extensive Toolkit for Deep Learning on Graphs
leaderboard
pytorch
link-prediction
graph-embedding
graph-classification
node-classification
graph-neural-networks
gnn-model
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Sep 23, 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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Sep 18, 2021
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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Aug 6, 2021 - 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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Sep 23, 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
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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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
security
data-science
machine-learning
data-mining
deep-learning
graph-algorithms
papers
academic-publications
spam-detection
graph-convolutional-networks
fraud-detection
graph-neural-networks
awsome-list
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Aug 24, 2021
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