Graph Neural Network Library for PyTorch
- Updated
- Python
#
graph-convolutional-networks
Here are 433 public repositories matching this topic...
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
- Updated
- Jupyter Notebook
A collection of important graph embedding, classification and representation learning papers with implementations.
deepwalk kernel-methods attention-mechanism network-embedding graph-kernel graph-kernels graph-convolutional-networks classification-algorithm node2vec weisfeiler-lehman graph-embedding graph-classification graph-attention-networks graph-representation-learning graph2vec deep-graph-kernels netlsd graph-attention-model structural-attention node-embedding
- Updated
- Python
StellarGraph - Machine Learning on Graphs
python data-science machine-learning deep-learning graphs machine-learning-algorithms networkx graph-data graph-analysis graph-machine-learning link-prediction graph-convolutional-networks gcn saliency-map interpretability geometric-deep-learning graph-neural-networks heterogeneous-networks stellargraph-library
- Updated
- 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
- Updated
- Python
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
- Updated
- C++
A curated list of Graph/Transformer-based fraud, anomaly, and outlier detection papers & resources
security data-science machine-learning data-mining deep-learning graph-algorithms survey dataset transformer outlier-detection papers academic-publications spam-detection graph-convolutional-networks fraud-detection anomaly-detection graph-neural-networks awsome-list foundation-models llm
- Updated
Graph Convolutional Networks for Text Classification. AAAI 2019
- Updated
- Python
🟠 A study guide to learn about Graph Neural Networks (GNNs)
- Updated
PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
pytorch deepwalk graph-convolutional-networks graph-embedding graph-attention-networks chebyshev-polynomials graph-representation-learning node-embedding graph-sage
- Updated
- Jupyter Notebook
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 deep-learning cheminformatics social-network pytorch 3d-point-clouds graph-convolutional-networks science-research geometric-deep-learning graph-neural-networks deep-gcns
- Updated
- 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
- Updated
- Python
An index of recommendation algorithms that are based on Graph Neural Networks. (TORS)
information-retrieval recommendation-system recommender-system recommendation recommendation-algorithms graph-convolutional-networks gcn graph-neural-networks graph-representation-learning gnn
- Updated
Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).
machine-learning data-mining deep-learning clustering surveys representation-learning data-mining-algorithms network-embedding graph-convolutional-networks gcn graph-embedding graph-neural-networks self-supervised-learning deep-clustering graphclustering
- Updated
- Python
A list of recent papers about Graph Neural Network methods applied in NLP areas.
natural-language-processing knowledge-graph question-answering knowledge-representation graph-convolutional-networks knowledge-based-systems paperlist paper-list graph-neural-network graph-attention-network heterogeneous-graphs
- Updated
A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convol…
streaming timeseries time-series lstm generative-adversarial-network gan rnn autoencoder ensemble-learning trees active-learning concept-drift graph-convolutional-networks interpretability anomaly-detection adversarial-attacks explaination anogan unsuperivsed nettack
- Updated
- 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
- Updated
- Python
Tutorial: Graph Neural Networks for Natural Language Processing at EMNLP 2019 and CODS-COMAD 2020
- Updated
- Python
A Deep Graph-based Toolbox for Fraud Detection
security machine-learning opensource graph graph-algorithms toolkit datascience outlier-detection fraud-prevention datamining yelp-dataset graph-convolutional-networks fraud-detection security-tools financial-engineering anomaly-detection graph-neural-networks dblp-dataset spamdetection graphneuralnetwork
- Updated
- Python
OpenChem: Deep Learning toolkit for Computational Chemistry and Drug Design Research
machine-learning deep-neural-networks deep-learning computational-biology pytorch computational-chemistry drug-discovery drug-design predictive-modeling graph-convolutional-networks qsar
- Updated
- Python
Improve this page
Add a description, image, and links to the graph-convolutional-networks topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the graph-convolutional-networks topic, visit your repo's landing page and select "manage topics."