推荐系统-- GraphEmbedding

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.

Graph Embedding相关文献

Paper References with the implementation(s)

AspEm

AspEm: Embedding Learning by Aspects in Heterogeneous Information Networks
[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]

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]

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]

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]

GraphWave

Spectral Graph Wavelets for Structural Role Similarity in Networks,
[arxiv], [ICLR 2018 OpenReview]
[Python]

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]

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]

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]

DeepWalk

DeepWalk: Online Learning of Social Representations, KDD’14
[arxiv] [Python]  [C++]

GEM

Graph Embedding Techniques, Applications, and Performance: A Survey
[arxiv] [Python]

Paper References
MetaGraph2Vec, MetaGraph2Vec: Complex Semantic Path Augmented Heterogeneous Network Embedding
PinSAGE, Graph Convolutional Neural Networks for Web-Scale Recommender Systems
Curriculum Learning for Heterogeneous Star Network Embedding via Deep Reinforcement Learning, WSDM '18
Adversarial Network Embedding, arxiv
Role2Vec, Learning Role-based Graph Embeddings
edge2vec, Feature Propagation on Graph: A New Perspective to Graph Representation
Learning
MINES, Multi-Dimensional Network Embedding with Hierarchical Structure
Walk-Steered Convolution for Graph Classification
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
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
Conference & Workshop
13th International Workshop on Mining and Learning with Graphs, MLG’17
WWW-18 Tutorial Representation Learning on Networks, WWW’18
Related List
awesome-embedding-models
Must-read papers on network representation learning (NRL) / network embedding (NE)
Must-read papers on knowledge representation learning (KRL) / knowledge embedding (KE)
Network Embedding Resources
awesome-embedding-models
2vec-type embedding models
Related Project
Stanford Network Analysis Project website
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原文链接：https://blog.csdn.net/Dooonald/article/details/80853359