NetworkEmbeddingPytorch:Pytorch实现的某些网络嵌入方法

# NetworkEmbeddingPytorch Pytorch implementation of some Network Embedding methods. ## For Cora and Tencent dataset ### Methods - DeepWalk - LINE - Node2Vec - GraRep ### Train Change the arguments in the scripts before runing the code. - DeepWalk ```Python python3 DeepWalk.py ``` - LINE ```Python python3 LINE.py ``` - Node2Vec ```Python python3 Node2Vec.py ``` - GraRep ```Python python3 GraRep.py ``` ### Test - Logistic Regression Classification ```Python python3 LRclassifier.py # pytorch (python3 LR.py) # scikit-learn ``` - Link Prediction ```Python python3 LinkPredictor.py ``` ## Requirements - Python (3.5.2) - PyTorch (0.3.0) ## Reference and Citing Implementation refers to some public implementations in other languages or other frameworks: - DeepWalk: Python[https://github.com/phanein/deepwalk], - LINE: C/C++[https://github.com/tangjianpku/LINE], Python/TensorFlow[https://github.com/snowkylin/line] - node2vec: Python[https://github.com/aditya-grover/node2vec], Python[https://github.com/thunlp/OpenNE] - GraRep: Matlab[https://github.com/ShelsonCao/GraRep], Python[https://github.com/thunlp/OpenNE] If you find the implementation useful in your research, please cite the following papers: - DeepWalk: Online Learning of Social Representations. Bryan Perozzi, Rami Al-Rfou, Steven Skiena. KDD 2014. - LINE: Large-scale Information Network Embedding. Jian Tang, Meng Qu, Mingzhe Wang, Ming Zhang, Jun Yan, Qiaozhu Me. WWW 2015. - node2vec: Scalable Feature Learning for Networks. Aditya Grover, Jure Leskovec. KDD 2016. - GraRep: Learning Graph Representations with Global Structural Information. Shaosheng Cao, Wei Lu, Qiongkai Xu. CIKM 2015. ## Author You're free to use the implementation. But if you find any bug, please kindly let me know in Issues. Thanks!