Also called network representation learning, graph embedding, knowledge embedding, etc.
The task is to learn the representations of the vertices from a given network.
- RSDNE
- 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
- PEUNE
- ASNE
- GraphWave
- StarSpace
- StarSpace: Embed All The Things!, arxiv'17
- [code]
- proNet-core
- struc2vec
- ComE
- Learning Community Embedding with Community Detection and Node Embedding on Graphs, CIKM'17
- [Python]
- GraphSAGE
- ICE
- 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
- 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
- node2vec
- DNGR
- HolE
- ComplEx
- MMDW
- planetoid
- PowerWalk
- LINE
- PTE
- GraRep
- KB2E
- TADW
- DeepWalk
- GEM
Deep Feature Learning for Graphs, arxiv'17
Watch Your Step: Learning Graph Embeddings Through Attention, arxiv'17
Fast Linear Model for Knowledge Graph Embeddings, arxiv'17
Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec, arxiv'17
A Comprehensive Survey of Graph Embedding: Problems, Techniques and Applications, arxiv'17
Representation Learning on Graphs: Methods and Applications, IEEE DEB'17
CONE, CONE: Community Oriented Network Embedding, arxiv'17
LANE, Label Informed Attributed Network Embedding, WSDM'17
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
13th International Workshop on Mining and Learning with Graphs, MLG'17
Must-read papers on network representation learning (NRL) / network embedding (NE)
Must-read papers on knowledge representation learning (KRL) / knowledge embedding (KE)
Stanford Network Analysis Project website