awesome-network-embedding

Also called network representation learning, graph embedding, knowledge embedding, etc.

The task is to learn the representations of the vertices from a given network.

Contributions Welcome :)

Paper References with the implementation(s)

GraphSAGE

Inductive Representation Learning on Large Graphs, NIPS'17

[arxiv] [Python]

ICE

ICE: Item Concept Embedding via Textual Information, SIGIR'17

[demo] [code]

struc2vec

struc2vec: Learning Node Representations from Structural Identity, KDD'17

[arxiv] [Python]

metapath2vec

metapath2vec: Scalable Representation Learning for Heterogeneous Networks, KDD'17

[paper] [project website]

GCN

Semi-Supervised Classification with Graph Convolutional Networks, ICLR'17

[arxiv] [Python Tensorflow]

GAE

Variational Graph Auto-Encoders, arxiv

[arxiv] [Python Tensorflow]

CANE

CANE: Context-Aware Network Embedding for Relation Modeling, ACL'17

[paper] [Python]

TransNet

TransNet: Translation-Based Network Representation Learning for Social Relation Extraction, IJCAI'17

[Python Tensorflow]

ConvE

Convolutional 2D Knowledge Graph Embeddings, arxiv

[source]

node2vec

node2vec: Scalable Feature Learning for Networks, KDD'16

[arxiv] [Python] [Python-2]

DNGR

Deep Neural Networks for Learning Graph Representations, AAAI'16

[Matlab] [Python Keras]

HolE

Holographic Embeddings of Knowledge Graphs, AAAI'16

[Python-sklearn] [Python-sklearn2]

ComplEx

Complex Embeddings for Simple Link Prediction, ICML'16

[arxiv] [Python]

MMDW

Max-Margin DeepWalk: Discriminative Learning of Network Representation, IJCAI'16

[paper] [Java]

planetoid

Revisiting Semi-supervised Learning with Graph Embeddings, ICML'16

[arxiv] [Python]

LINE

LINE: Large-scale information network embedding, WWW'15

[arxiv] [C++]

PTE

PTE: Predictive Text Embedding through Large-scale Heterogeneous Text Networks, KDD'15

[C++]

GraRep

Grarep: Learning graph representations with global structural information, CIKM'15

[Matlab]

KB2E

Learning Entity and Relation Embeddings for Knowledge Graph Completion, AAAI'15

[paper] [C++] [faster version]

TADW

Network Representation Learning with Rich Text Information, IJCAI'15

[paper] [Matlab]

DeepWalk

DeepWalk: Online Learning of Social Representations, KDD'14

[arxiv] [Python]

GEM

Graph Embedding Techniques, Applications, and Performance: A Survey

[arxiv] [MIX]

Paper References

Graph2Gauss, Deep Gaussian Embedding of Attributed Graphs: Unsupervised Inductive Learning via Ranking, arxiv [Bonus Animation]

Scalable Graph Embedding for Asymmetric Proximity, AAAI'17

Structural Deep Network Embedding, KDD'16

Query-based Music Recommendations via Preference Embedding, RecSys'16

Tri-party deep network representation, IJCAI'16

Heterogeneous Network Embedding via Deep Architectures, KDD'15

Neural Word Embedding As Implicit Matrix Factorization, NIPS'14

Distributed large-scale natural graph factorization, WWW'13

From Node Embedding To Community Embedding, arxiv

Walklets: Multiscale Graph Embeddings for Interpretable Network Classification, arxiv

Comprehend DeepWalk as Matrix Factorization, arxiv

Related Github Links

Must-read papers on NRL/NE.

Network Embedding Resources

2vec-type embedding models