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Here are 4 public repositories matching this topic...

shenweichen / GraphEmbedding

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Implementation and experiments of graph embedding algorithms.

line graph deepwalk node2vec struc2vec sdne

Updated Mar 18, 2022
Python

xiangyue9607 / BioNEV

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Graph Embedding Evaluation / Code and Datasets for "Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations" (Bioinformatics 2020)

gae deepwalk matrix-factorization network-embedding link-prediction node2vec graph-embedding node-classification graph-embedding-methods struc2vec sdne graph-embeddings-evaluation biomedical-networks line-embedding graph-factorization biomedical-graphs

Updated Apr 14, 2020
Python

abhilash1910 / SpectralEmbeddings

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spectralembeddings is a python library which is used to generate node embeddings from Knowledge graphs using GCN kernels and Graph Autoencoders. Variations include VanillaGCN,ChebyshevGCN and Spline GCN along with SDNe based Graph Autoencoder.

spectral spline gcn tf chebyshev-polynomials node-embedding sdne tensorflow2 gcn-filter vanillagcn

Updated Oct 3, 2021
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abhilash1910 / Deep-Graph-Learning

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A notebook containing implementations of different graph deep node embeddings along with benchmark graph neural network models in tensorflow. This has been taken from https://www.kaggle.com/abhilash1910/nlp-workshop-ml-india-deep-graph-learning to apply GNNs/node embeddings on NLP task.

line keras-tensorflow gcn semi laplacian-filter sdne gnn tensorflow2 graphneuralnetwork chebyshev-filter

Updated Jul 17, 2021
Jupyter Notebook

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