#
struc2vec
Here are 12 public repositories matching this topic...
A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
machine-learning
research
deep-learning
tensorflow
sklearn
pytorch
deepwalk
convolution
node2vec
graph-classification
capsule-network
graph-attention-networks
capsule-neural-networks
graph-attention-model
struc2vec
graph-convolution
gnn
graph-neural-network
capsgnn
-
Updated
May 31, 2020 - Python
A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).
machine-learning
kernel
line
word2vec
deepwalk
matrix-factorization
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
May 31, 2020 - Python
A scalable implementation of "Learning Structural Node Embeddings Via Diffusion Wavelets (KDD 2018)".
machine-learning
word2vec
spectral
factorization
kdd
wavelet
unsupervised-learning
embedding
diffusion
laplacian
refex
node2vec
graph-embedding
graphwave
graph-wavelet
struc2vec
rolx
structural-embedding
structural-role
heat-kernel
-
Updated
May 31, 2020 - Python
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
A scalable Gensim implementation of "Learning Role-based Graph Embeddings" (IJCAI 2018).
machine-learning
research
deep-learning
tensorflow
word2vec
sklearn
network-science
pytorch
deepwalk
gensim
representation-learning
network-embedding
node2vec
weisfeiler-lehman
graph-embedding
graph-wavelet
node-embedding
struc2vec
implicit-factorization
graph-neural-network
-
Updated
Jun 1, 2020 - Python
An implementation of "Community Preserving Network Embedding" (AAAI 2017)
machine-learning
deep-learning
neural-network
clustering
tensorflow
community-detection
deepwalk
matrix-factorization
factorization
representation-learning
unsupervised-learning
come
nmf
laplacian
node2vec
struc2vec
implicit-factorization
semisupervised-learning
m-nmf
mnmf
-
Updated
May 31, 2020 - 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
May 31, 2020 - Python
An alternative implementation of Recursive Feature and Role Extraction (KDD11 & KDD12)
machine-learning
deep-learning
tensorflow
word2vec
deepwalk
matrix-factorization
gensim
factorization
unsupervised-learning
graph-mining
embedding
refex
node2vec
graph-embedding
node-embedding
struc2vec
rolx
implicit-factorization
structural-embedding
semisupervised-learning
-
Updated
Jun 1, 2020 - Python
Inner product natural graph factorization machine used in 'GEMSEC: Graph Embedding with Self Clustering' .
community
machine-learning
graph
clustering
tensorflow
word2vec
community-detection
deepwalk
matrix-factorization
factorization
unsupervised-learning
embedding
node2vec
graph-embedding
node-embedding
struc2vec
implicit-factorization
structural-embedding
semisupervised-learning
-
Updated
May 31, 2020 - Python
Code for the ICDM 2019 Paper "RiWalk: Fast Structural Node Embedding via Role Identification".
graph
graph-algorithms
icdm
representation-learning
network-embedding
graph-representation
graph-embedding
network-representation-learning
graph-representation-learning
struc2vec
structural-embedding
-
Updated
Apr 27, 2020 - Python
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I got this issue using struc2vec and node2vec methods
`---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
in
1 model_struc2vec = ge.Struc2Vec(G, 10, 80, workers=4, verbose=40, ) #init model
----> 2 model_struc2vec.train(window_size = 5, iter = 3)