graph embedding汇总

 

Embedding-metapath2vec

https://blog.csdn.net/Dooonald/article/details/80853359

##https://www.sohu.com/a/154650431_642762

##https://www.jianshu.com/p/90afe6375129

##https://www.leiphone.com/news/201802/UolvCn9mP5b23OpG.html

https://github.com/thunlp/NRLPapers/blob/master/README.md

##https://blog.csdn.net/zhangbaoanhadoop/article/details/82180957

##https://blog.csdn.net/lijunweiyhn/article/details/79528154

需要拿来对比的算法：Line Deepwalk node2vec walklets Grarep GraphAttention SDNE DNGR 

gemsec==graphwave>mnmf==struct2vec==metapath2vec==diff2vec>node2vec==mmdw==grarep==PTE>line>deepwalk>spctral clustering

https://arxiv.org/pdf/1705.02801.pdf

https://arxiv.org/pdf/1801.05852.pdf

https://arxiv.org/pdf/1808.02590.pdf

mnmf:https://github.com/benedekrozemberczki/M-NMF

Metapath2vec:

主要针对异质n网络的一种graph embedding工具

TransNet

今晚上把wave和struct2vece给跑了

GRAPHWAVE  亲测效果不好,当矩阵比较稠密的时候误判所有的矩阵都是相似的,所有矩阵都成为一个点.

https://github.com/thunlp/NRLPapers/blob/master/README.md

https://github.com/chihming/awesome-network-embedding

https://github.com/benedekrozemberczki/awesome-community-detection

diff2vec  2018

• Fast Sequence Based Embedding with Diffusion Graphs, CompleNet 2018
• [Python]

DANMF

• Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection, CIKM'18
• [paper]
• [Python]
• [Matlab]

 

GRAF:

code:https://github.com/benedekrozemberczki/GRAF

paper:https://arxiv.org/abs/1802.03997

 

GEMSEC:

• GEMSEC: Graph Embedding with Self Clustering, arXiv 2018
• [Python]

 

 

Nested Subtree Hashes:

coed:https://github.com/benedekrozemberczki/NestedSubtreeHash

paper:Nested Subtree Hash Kernels for Large-scale Graph Classification Over Streams Bin Li, Xingquan Zhu, Lianhua Chi, Chengqi Zhang IEEE 12th International Conference on Data Mining.

 

GraphWaveMachine:

code:https://github.com/benedekrozemberczki/GraphWaveMachine

paper:

Learning Structural Node Embeddings Via Diffusion Wavelets. Claire Donnat, Marinka Zitnik, David Hallac and Jure Leskovec. Proceedings of the 24th SIGKDD Conference on Knowledge Discovery and Data Mining (KDD-18). [arxiv], [ICLR 2018 OpenReview]

 

M-NMF:

code:https://github.com/benedekrozemberczki/M-NMF

paper:Community Preserving Network Embedding. Xiao Wang, Peng Cui, Jing Wang, Jain Pei, WenWu Zhu, Shiqiang Yang. Proceedings of the Thirsty-First AAAI conference on Artificial Intelligence (AAAI-17).https://aaai.org/ocs/index.php/AAAI/AAAI17/paper/download/14589/13763

struc2vec

• struc2vec: Learning Node Representations from Structural Identity, KDD'17
• [Python]

metapath2vec

• metapath2vec: Scalable Representation Learning for Heterogeneous Networks, KDD'17
• [paper] [project website]

node2vec

• node2vec: Scalable Feature Learning for Networks, KDD'16
• [arxiv] [Python] [Python-2] [Python-3] [C++]
• MMDW
• Max-Margin DeepWalk: Discriminative Learning of Network Representation, IJCAI'16
• [paper] [Java]

 

GraRep

• Grarep: Learning graph representations with global structural information, CIKM'15
• [Matlab]

PTE

• PTE: Predictive Text Embedding through Large-scale Heterogeneous Text Networks, KDD'15
• [C++]

LINE

• LINE: Large-scale information network embedding, WWW'15
• [arxiv] [C++] [Python TF] [Python Theano/Keras]

DeepWalk

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