【论文分类】网络表征学习（NRL）论文分类

平常看的网络表征学习（NRL）论文的简单分类，随时更新

按以下因素进行分类：

• 静态（Static）网络 OR 动态(Dynamic)网络；
• 保留结构（Structure-Preserving） OR 保留属性（Property-Preserving）

另外推一下这个GitHub：https://github.com/thunlp/NRLPapers#dynamic-network，也对论文做了很好的总结，并且部分论文给出了源码链接

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静态NRL

1. DeepWalk  DeepWalk: Online Learning of Social Representations  论文链接：https://arxiv.org/pdf/1403.6652.pdf
2. LINE  LINE: Large-scale Information Network Embedding  论文链接：https://arxiv.xilesou.top/pdf/1503.03578.pdf
3. node2vec  node2vec: Scalable Feature Learning for Networks  论文链接：https://www_ncbi.xilesou.top/pmc/articles/PMC5108654/
4. GraphSAGE  Inductive Representation Learning on Large Graphs  论文链接：https://papers.nips.cc/paper/6703-inductive-representation-learning-on-large-graphs.pdf
5. HOPE  Asymmetric Transitivity Preserving Graph Embedding  论文链接：https://www.kdd.org/kdd2016/papers/files/rfp0184-ouA.pdf
6. GraRep  GraRep: Learning Graph Representations with Global Structural Information  论文链接：https://www.researchgate.net/publication/301417811_GraRep

动态NRL

1. DNE  Dynamic Network Embedding : An Extended Approach for Skip-gram based Network Embedding  论文链接：https://www.ijcai.org/proceedings/2018/0288.pdf
2. DANE  Attributed Network Embedding for Learning in a Dynamic Environment  论文链接：https://arxiv.xilesou.top/pdf/1706.01860.pdf
3. dynnode2vec  dynnode2vec: Scalable Dynamic Network Embedding  论文链接：https://arxiv.xilesou.top/pdf/1812.02356
4. DynWalks  DynWalks: Global Topology and Recent Changes Awareness Dynamic Network Embedding  论文链接：https://arxiv.xilesou.top/pdf/1907.11968.pdf
5. DynGEM  DynGEM: Deep Embedding Method for Dynamic Graphs  论文链接：https://arxiv.xilesou.top/pdf/1805.11273

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保留结构

1. DeepWalk  DeepWalk: Online Learning of Social Representations  论文链接：https://arxiv.org/pdf/1403.6652.pdf
2. LINE  LINE: Large-scale Information Network Embedding  论文链接：https://arxiv.xilesou.top/pdf/1503.03578.pdf
3. node2vec  node2vec: Scalable Feature Learning for Networks  论文链接：https://www_ncbi.xilesou.top/pmc/articles/PMC5108654/
4. HOPE  Asymmetric Transitivity Preserving Graph Embedding  论文链接：https://www.kdd.org/kdd2016/papers/files/rfp0184-ouA.pdf
5. GraRep  GraRep: Learning Graph Representations with Global Structural Information  论文链接：https://www.researchgate.net/publication/301417811_GraRep
6. DNE  Dynamic Network Embedding : An Extended Approach for Skip-gram based Network Embedding  论文链接：https://www.ijcai.org/proceedings/2018/0288.pdf
7. dynnode2vec  dynnode2vec: Scalable Dynamic Network Embedding  论文链接：https://arxiv.xilesou.top/pdf/1812.02356
8. DynWalks  DynWalks: Global Topology and Recent Changes Awareness Dynamic Network Embedding  论文链接：https://arxiv.xilesou.top/pdf/1907.11968.pdf
9. DynGEM  DynGEM: Deep Embedding Method for Dynamic Graphs  论文链接：https://arxiv.xilesou.top/pdf/1805.11273

保留属性

1. GraphSAGE  Inductive Representation Learning on Large Graphs  论文链接：https://papers.nips.cc/paper/6703-inductive-representation-learning-on-large-graphs.pdf
2. DANE  Attributed Network Embedding for Learning in a Dynamic Environment  论文链接：https://arxiv.xilesou.top/pdf/1706.01860.pdf