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

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

1. Table of resource contents, this page.
2. Paper list with simple classification index
3. Paper list without classification index, more frequently updated.

1. Paper References with the implementation
2. Paper References
3. Conference & Workshop
4. Related Resource List
5. Related Projects
6. Related Notes

• SGCN
  • Signed Graph Convolutional Network, ICDM'18
  • [paper]
  • [Python]
• TENE
  • Enhanced Network Embedding with Text Information, ICPR'18
  • [paper]
  • [Python]
• DANMF
  • Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection, CIKM'18
  • [paper]
  • [Python]
  • [Matlab]
• BANE
  • Binarized Attributed Network Embedding, ICDM'18
  • [paper]
  • [Python]
  • [Matlab]
• GCN Insights
  • Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning, AAAI'18
  • [Project]
  • [code]
• PCTADW
  • Learning Embeddings of Directed Networks with Text-Associated Nodes---with Applications in Software Package Dependency Networks
  • [paper]
  • [Python]
  • [dataset]
• LGCN
  • Large-Scale Learnable Graph Convolutional Networks, KDD'18
  • [paper]
  • [Python]
• AspEm
  • AspEm: Embedding Learning by Aspects in Heterogeneous Information Networks
  • [paper]
  • [Python]
• Walklets
  • Don't Walk, Skip! Online Learning of Multi-scale Network Embeddings
  • [paper]
  • [Python]
• gat2vec
  • gat2vec: Representation learning for attributed graphs
  • [paper]
  • [Python]
• FSCNMF
  • FSCNMF: Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks
  • [paper]
  • [Python]
  • [Python]
• SIDE
  • SIDE: Representation Learning in Signed Directed Networks
  • [paper]
  • [Python]
  • [Site]
• AWE
  • Anonymous Walk Embeddings, ICML'18
  • [paper]
  • [Python]
• BiNE
  • BiNE: Bipartite Network Embedding, SIGIR'18
  • [paper]
  • [Python]
• HOPE
  • Asymmetric Transitivity Preserving Graph Embedding
  • [KDD 2016]
  • [Python]
• VERSE
  • VERSE, Versatile Graph Embeddings from Similarity Measures
  • [Arxiv] [[WWW 2018]]
  • [Python]
• AGNN
  • Attention-based Graph Neural Network for semi-supervised learning
  • [ICLR 2018 OpenReview (rejected)]
  • [Python]
• SEANO
  • Semi-supervised Embedding in Attributed Networks with Outliers
  • [Paper] (SDM 2018)
  • [Python]
• Hyperbolics
  • Representation Tradeoffs for Hyperbolic Embeddings
  • [Arxiv]
  • [Python]
• DGCNN
  • An End-to-End Deep Learning Architecture for Graph Classification
  • [AAAI 2018]
  • [Lua] [Python]
• structure2vec
  • Discriminative Embeddings of Latent Variable Models for Structured Data
  • [Arxiv]
  • [Python]
• Decagon
  • Decagon, Graph Neural Network for Multirelational Link Prediction
  • [Arxiv] [SNAP] [[ISMB 2018]]
  • [Python]
• DHNE
  • Structural Deep Embedding for Hyper-Networks
  • [AAAI 2018][Arxiv]
  • [Python]
• Ohmnet
  • Feature Learning in Multi-Layer Networks
  • [Arxiv] [SNAP]
  • [Python]
• SDNE
  • Structural Deep Network Embedding
  • [KDD 2016]
  • [Python]
• STWalk
  • STWalk: Learning Trajectory Representations in Temporal Graphs]
  • [Arxiv]
  • [Python]
• LoNGAE
  • Learning to Make Predictions on Graphs with Autoencoders
  • [Arxiv]
  • [Python]
• RSDNE
  • RSDNE: Exploring Relaxed Similarity and Dissimilarity from Completely-imbalanced Labels for Network Embedding., AAAI 2018
  • [Matlab]
• FastGCN
  • FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling
  • [Arxiv], [ICLR 2018 OpenReview]
  • [Python]
• GEMSEC
  • GEMSEC: Graph Embedding with Self Clustering, arXiv 2018
  • [Python]
• diff2vec
  • Fast Sequence Based Embedding with Diffusion Graphs, CompleNet 2018
  • [Python]
• Poincare
  • Poincaré Embeddings for Learning Hierarchical Representations, NIPS 2017
  • [PyTorch] [Python] [C++]
• PEUNE
  • PRUNE: Preserving Proximity and Global Ranking for Network Embedding, NIPS 2017
  • [code]
• ASNE
  • Attributed Social Network Embedding, arxiv'17
  • [arxiv]
  • [Python]
  • [Fast Python]
• GraphWave
  • Spectral Graph Wavelets for Structural Role Similarity in Networks,
  • [arxiv], [ICLR 2018 OpenReview]
  • [Python] [faster version]
• StarSpace
  • StarSpace: Embed All The Things!, arxiv'17
  • [code]
• proNet-core
  • Vertex-Context Sampling for Weighted Network Embedding, arxiv'17
  • [arxiv] [code]
• struc2vec
  • struc2vec: Learning Node Representations from Structural Identity, KDD'17
  • [Python]
• ComE
  • Learning Community Embedding with Community Detection and Node Embedding on Graphs, CIKM'17
  • [Python]
• BoostedNE
  • Multi-Level Network Embedding with Boosted Low-Rank Matrix Approximation, '18
  • [Python]
• M-NMF
  • Community Preserving Network Embedding, AAAI'17
  • [Python]
• GraphSAGE
  • Inductive Representation Learning on Large Graphs, NIPS'17
  • [arxiv] [TF] [PyTorch]
• ICE
  • ICE: Item Concept Embedding via Textual Information, SIGIR'17
  • [demo] [code]
• 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]
• cnn_graph
  • Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering, NIPS'16
  • [Python]
• ConvE
  • Convolutional 2D Knowledge Graph Embeddings, arxiv
  • [source]
• node2vec
  • node2vec: Scalable Feature Learning for Networks, KDD'16
  • [arxiv] [Python] [Python-2] [Python-3] [C++]
• 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]
• graph2vec
  • graph2vec: Learning Distributed Representations of Graphs, KDD'17 MLGWorkshop
  • [arxiv] [Python]
• PowerWalk
  • PowerWalk: Scalable Personalized PageRank via Random Walks with Vertex-Centric Decomposition, CIKM'16
  • [code]
• LINE
  • LINE: Large-scale information network embedding, WWW'15
  • [arxiv] [C++] [Python TF] [Python Theano/Keras]
• 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] [Python]
• Watch Your Step
  • Watch Your Step: Learning Node Embeddings via Graph Attention, NeurIPS'2018
  • [Python]
• DeepWalk
  • DeepWalk: Online Learning of Social Representations, KDD'14
  • [arxiv] [Python] [C++]
• GEM
  • Graph Embedding Techniques, Applications, and Performance: A Survey
  • [arxiv] [Python]

1. Paper list with classification index

2. Paper list without classification index, more frequently updated.

1. Hierarchical Graph Representation Learning with Differentiable Pooling, NIPS'18

2. SEMAC, Link Prediction via Subgraph Embedding-Based Convex Matrix Completion, AAAI 2018, Slides

3. MILE, MILE: A Multi-Level Framework for Scalable Graph Embedding, arxiv'18

4. MetaGraph2Vec, MetaGraph2Vec: Complex Semantic Path Augmented Heterogeneous Network Embedding

5. PinSAGE, Graph Convolutional Neural Networks for Web-Scale Recommender Systems

6. Curriculum Learning for Heterogeneous Star Network Embedding via Deep Reinforcement Learning, WSDM '18

7. Adversarial Network Embedding, arxiv

8. Role2Vec, Learning Role-based Graph Embeddings

9. edge2vec, Feature Propagation on Graph: A New Perspective to Graph Representation Learning

10. MINES, Multi-Dimensional Network Embedding with Hierarchical Structure

11. Walk-Steered Convolution for Graph Classification

12. Deep Feature Learning for Graphs, arxiv'17

13. Fast Linear Model for Knowledge Graph Embeddings, arxiv'17

14. Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec, arxiv'17

15. A Comprehensive Survey of Graph Embedding: Problems, Techniques and Applications, arxiv'17

16. Representation Learning on Graphs: Methods and Applications, IEEE DEB'17

17. CONE, CONE: Community Oriented Network Embedding, arxiv'17

18. LANE, Label Informed Attributed Network Embedding, WSDM'17

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

20. Scalable Graph Embedding for Asymmetric Proximity, AAAI'17

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

22. Tri-party deep network representation, IJCAI'16

23. Heterogeneous Network Embedding via Deep Architectures, KDD'15

24. Neural Word Embedding As Implicit Matrix Factorization, NIPS'14

25. Distributed large-scale natural graph factorization, WWW'13

26. From Node Embedding To Community Embedding, arxiv

27. Walklets: Multiscale Graph Embeddings for Interpretable Network Classification, arxiv

28. Comprehend DeepWalk as Matrix Factorization, arxiv

1. 13th International Workshop on Mining and Learning with Graphs, MLG'17

2. WWW-18 Tutorial Representation Learning on Networks, WWW'18

1. awesome-community-detection

2. Must-read papers on knowledge representation learning (KRL) / knowledge embedding (KE)

3. awesome-embedding-models

4. Network Embedding Resources

5. awesome-embedding-models

6. 2vec-type embedding models

• Stanford Network Analysis Project website

• 认识“网络嵌入法” weblink