A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).

machine-learning kernel word2vec deepwalk matrix-factorization transformer unsupervised-learning graph-kernel node2vec weisfeiler-lehman noise-contrastive-estimation graph-embedding graph2vec subgraph2vec graph-wavelet node-embedding struc2vec implicit-matrix-factorization diff2vec gemsec

• Updated Nov 6, 2022
• 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 Nov 6, 2022
• Python

Reference implementation of Diffusion2Vec (Complenet 2018) built on Gensim and NetworkX.

machine-learning deep-learning neural-network tensorflow embeddings deepwalk gensim complex-networks factorization unsupervised-learning embedding network-embedding diffusion node2vec graph-embedding node-embedding struc2vec diff2vec implicit-factorization semisupervised-learning

• Updated Nov 6, 2022
• Python

A sparsity aware implementation of "Binarized Attributed Network Embedding" (ICDM 2018).

node line graph word2vec deepwalk dimensionality-reduction factorization icdm svd embedding node2vec lane bane graph2vec diff2vec gemsec fscnmf tadw musae tridnr

• Updated Mar 18, 2023
• Python

A sparsity aware and memory efficient implementation of "Attributed Social Network Embedding" (TKDE 2018).

data-science tensorflow word2vec deepwalk feature-extraction dimensionality-reduction factorization representation-learning embedding network-embedding node2vec graph-embedding attributed node-embedding diff2vec gemsec attributed-embedding 2vec aane asne

• Updated Nov 6, 2022
• Python