# MustPapers

**Repository Path**: tzeng/mustpapers

## Basic Information

- **Project Name**: MustPapers
- **Description**: 必读论文整理
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2017-05-18
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

## Must-read papers on NRL/NE.
NRL: network representation learning. NE: network embedding.

Contributed by [Cunchao Tu](http://thunlp.org/~tcc/) and Yuan Yao.

1. **DeepWalk: Online Learning of Social Representations.**
*Bryan Perozzi, Rami Al-Rfou, Steven Skiena.*  KDD 2014. [code](https://github.com/phanein/deepwalk)

1. **Learning Latent Representations of Nodes for Classifying in Heterogeneous Social Networks.**
*Yann Jacob, Ludovic Denoyer, Patrick Gallinar.* WSDM 2014

1. **Non-transitive Hashing with Latent Similarity Componets.**
*Mingdong Ou, Peng Cui, Fei Wang, Jun Wang, Wenwu Zhu.*  KDD 2015

1. **GraRep: Learning Graph Representations with Global Structural Information.**
*Shaosheng Cao, Wei Lu, Qiongkai Xu.*  CIKM 2015. [code](https://github.com/ShelsonCao/GraRep)

1. **LINE: Large-scale Information Network Embedding.**
*Jian Tang, Meng Qu, Mingzhe Wang, Ming Zhang, Jun Yan, Qiaozhu Me.*  WWW 2015. [code](https://github.com/tangjianpku/LINE)

1. **Network Representation Learning with Rich Text Information.**
*Cheng Yang, Zhiyuan Liu, Deli Zhao, Maosong Sun, Edward Y. Chang.*  IJCAI 2015. [code](https://github.com/thunlp/tadw)

1. **PTE: Predictive Text Embedding through Large-scale Heterogeneous Text Networks.**
*Jian Tang, Meng Qu, Qiaozhu Mei.*  KDD 2015

1. **Asymmetric Transitivity Preserving Graph Embedding.**
*Mingdong Ou, Peng Cui, Jian Pei, Ziwei Zhang, Wenwu Zhu.*  KDD 2016

1. **Revisiting Semi-supervised Learning with Graph Embeddings.**
*Zhilin Yang, William W. Cohen, Ruslan Salakhutdinov.* ICML 2016

1. **node2vec: Scalable Feature Learning for Networks.**
*Aditya Grover, Jure Leskovec.*  KDD 2016. [code](https://github.com/aditya-grover/node2vec)

1. **Max-Margin DeepWalk: Discriminative Learning of Network Representation.**
*Cunchao Tu, Weicheng Zhang, Zhiyuan Liu, Maosong Sun.*  IJCAI 2016. [code](https://github.com/thunlp/mmdw)

1. **Structural Deep Network Embedding.**
*Daixin Wang, Peng Cui, Wenwu Zhu.*  KDD 2016

1. **Community Preserving Network Embedding.**
*Xiao Wang, Peng Cui, Jing Wang, Jian Pei, Wenwu Zhu, Shiqiang Yang.* AAAI 2017

1. **Semi-supervised Classification with Graph Convolutional Networks.**
*Thomas N. Kipf, Max Welling.* ICLR 2017. [code](https://github.com/tkipf/gcn)

1. **CANE: Context-Aware Network Embedding for Relation Modeling.**
*Cunchao Tu, Han Liu, Zhiyuan Liu, Maosong Sun.* ACL 2017. [code](https://github.com/thunlp/cane)

1. **Fast Network Embedding Enhancement via High Order Proximity Approximation.**
*Cheng Yang, Maosong Sun, Zhiyuan Liu, Cunchao Tu.* IJCAI 2017.

1. **TransNet: Translation-Based Network Representation Learning for Social Relation Extraction.**
*Cunchao Tu, Zhengyan Zhang, Zhiyuan Liu, Maosong Sun.* IJCAI 2017. [code](https://github.com/thunlp/transnet)