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Jul 12, 2020 - Python
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network-embedding
Here are 128 public repositories matching this topic...
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
Must-read papers on network representation learning (NRL) / network embedding (NE)
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Jun 9, 2020 - TeX
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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Jul 14, 2020 - C++
A curated list of network embedding techniques.
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Jun 1, 2020
A general purpose community detection and network embedding library for research built on NetworkX.
machine-learning
sklearn
community-detection
network-science
deepwalk
networkx
supervised-learning
louvain
unsupervised-learning
network-embedding
scikit
label-propagation
gcn
graph-clustering
node2vec
networkx-graph
graph-embedding
graph2vec
node-embedding
2vec
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Jul 13, 2020 - Python
HenryYihengXu
commented
Feb 12, 2020
I'm reading your paper and have a question about section 3.2. Could you explain what are the vertex matrix and context matrix? Are they simply the source and the destination of edges?
Little Ball of Fur - A graph sampling extension library for NetworkX.
machine-learning
deep-learning
graph
graph-algorithms
network-science
networkx
sampling
network-embedding
random-walk
metropolis-hastings
minimum-spanning-tree
graph-embedding
forest-fire
graph-sampling
network-analytics
node-embedding
graph-sparsification
community-structure
network-sampling
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Jul 13, 2020 - Python
Heterogeneous Graph Neural Network
heterogeneous-network
network-embedding
graph-neural-network
heterogeneous-graph
graph-attention-network
heterogeneous-graph-neural-network
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May 6, 2020 - Python
word2vec, sentence2vec, machine reading comprehension, dialog system, text classification, pretrained language model (i.e., XLNet, BERT, ELMo, GPT), sequence labeling, information retrieval, information extraction (i.e., entity, relation and event extraction), knowledge graph, text generation, network embedding
information-retrieval
text-classification
word2vec
text-generation
information-extraction
knowledge-graph
network-embedding
sequence-labeling
dialogue-systems
sentence2vec
machine-reading-comprehension
pretrained-language-model
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Jun 1, 2020 - OpenEdge ABL
A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).
machine-learning
deep-learning
neural-network
tensorflow
sklearn
pytorch
attention-mechanism
network-embedding
wsdm
ged
gcn
graph-embedding
graph-classification
tensor-network
graph-similarity
graph-convolution
graph-attention
gnn
graph-edit-distance
simgnn
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May 31, 2020 - Python
SMORe: Modularize Graph Embedding for Recommendation
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Feb 9, 2020 - C++
Source code and dataset for KDD 2019 paper "Representation Learning for Attributed Multiplex Heterogeneous Network"
heterogeneous-network
representation-learning
multiplex-networks
network-embedding
attributed-networks
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Dec 30, 2019 - Python
Representation-Learning-on-Heterogeneous-Graph
machine-learning
deep-learning
representation-learning
network-embedding
graph-embedding
heterogeneous-information-networks
network-representation-learning
graph-neural-network
heterogeneous-graph
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Mar 13, 2020
A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).
machine-learning
deep-neural-networks
research
deep-learning
pagerank
pytorch
deepwalk
attention
network-embedding
gcn
iclr
node2vec
graph-embedding
graph-classification
node-embedding
graph-attention
graph-convolutional-neural-networks
graph-neural-network
ppnp
appnp
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May 31, 2020 - Python
The TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).
machine-learning
facebook
neural-network
clustering
tensorflow
word2vec
community-detection
deezer
deepwalk
matrix-factorization
gensim
unsupervised-learning
embedding
network-embedding
node2vec
graph-embedding
gemsec
implicit-factorization
semisupervised-learning
m-nmf
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May 31, 2020 - Python
Source code and datasets of "CANE: Context-Aware Network Embedding for Relation Modeling"
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Mar 30, 2019 - Python
A Pytorch implementation of "Splitter: Learning Node Representations that Capture Multiple Social Contexts" (WWW 2019).
machine-learning
deep-learning
clustering
word2vec
community-detection
pytorch
deepwalk
gensim
factorization
network-embedding
node2vec
graph-embedding
overlapping-community-detection
deep-neural-network
graph-representation-learning
node-embedding
implicit-factorization
graph-neural-network
ego-splitting
word-vector
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Apr 1, 2020 - Python
A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)
deep-learning
tensorflow
machine-learning-algorithms
pytorch
deepwalk
deep-learning-algorithms
network-embedding
active-learning
graph-convolutional-networks
gcn
node2vec
graph-embedding
graph-classification
active-learning-module
node-classification
graph-neural-networks
graph-representation-learning
graph-convolution
gnn
graph-neural-network
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May 31, 2020 - Python
A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).
machine-learning
deep-learning
neural-network
gae
pytorch
deepwalk
network-embedding
gcn
side
node2vec
graph-embedding
node-classification
graphsage
graph-neural-networks
graph-convolution
graph-attention
signed-network
sgcn
sdne
pytorch-geometric
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May 31, 2020 - Python
A repository of pretty cool datasets that I collected for network science and machine learning research.
data-science
benchmark
machine-learning
community-detection
network-science
deepwalk
dataset
dimensionality-reduction
network-analysis
network-embedding
link-prediction
gcn
node2vec
graph-embedding
node-classification
graph2vec
node-embedding
graph-convolution
gnn
graph-neural-network
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May 21, 2020
cthoyt
commented
Jan 27, 2020
As a follow-up to #5, it would be nice to have vanity CLI endpoints so users could directly use the code.
Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric
transformer
heterogeneous-network
network-embedding
graph-neural-networks
graph-representation-learning
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Jul 15, 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
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Apr 14, 2020 - Python
A PyTorch implementation of ACM SIGKDD 2019 paper "Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks"
machine-learning
embeddings
representation-learning
network-embedding
dynamic-networks
kdd2019
temporal-network
embedding-trajectories
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Mar 31, 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
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Updated
Jun 1, 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
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May 31, 2020 - Python
Pytorch implementation of the Attention-based Graph Neural Network(AGNN)
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Dec 27, 2017 - Python
NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization
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Sep 4, 2019 - C++
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I'm looking to create embeddings for the STRING protein-protein interaction database. In this notebook, I convert this network to
scipy.sparse.csr_matrixandnumpy.arrayformats. The network is big with 19,566 nodes and 11,759,454 (divide that in two for bidi