nrl.bib

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@InProceedings{cao2015grarep,
  Title                    = {Grarep: Learning graph representations with global structural information},
  Author                   = {Cao, Shaosheng and Lu, Wei and Xu, Qiongkai},
  Booktitle                = {Proceedings of CIKM},
  Year                     = {2015},
  Pages                    = {891--900}
}

@InProceedings{grover2016node2vec,
  Title                    = {node2vec: Scalable feature learning for networks},
  Author                   = {Grover, Aditya and Leskovec, Jure},
  Booktitle                = {Proceedings of KDD},
  Year                     = {2016},
  Pages                    = {855--864}
}

@InProceedings{jacob2014learning,
  Title                    = {Learning latent representations of nodes for classifying in heterogeneous social networks},
  Author                   = {Jacob, Yann and Denoyer, Ludovic and Gallinari, Patrick},
  Booktitle                = {Proceedings of WSDM},
  Year                     = {2014},
  Pages                    = {373--382}
}

@InProceedings{kipf2016semi,
  Title                    = {Semi-supervised classification with graph convolutional networks},
  Author                   = {Kipf, Thomas N and Welling, Max},
  Booktitle                = {Proceedings of ICLR},
  Year                     = {2017}
}

@InProceedings{ou2016asymmetric,
  Title                    = {Asymmetric transitivity preserving graph embedding},
  Author                   = {Ou, Mingdong and Cui, Peng and Pei, Jian and Zhang, Ziwei and Zhu, Wenwu},
  Booktitle                = {Proceedings of KDD},
  Year                     = {2016},
  Pages                    = {1105--1114}
}

@InProceedings{ou2015non,
  Title                    = {Non-transitive hashing with latent similarity components},
  Author                   = {Ou, Mingdong and Cui, Peng and Wang, Fei and Wang, Jun and Zhu, Wenwu},
  Booktitle                = {Proceedings of KDD},
  Year                     = {2015},
  Pages                    = {895--904}
}

@InProceedings{perozzi2014deepwalk,
  Title                    = {Deepwalk: Online learning of social representations},
  Author                   = {Perozzi, Bryan and Al-Rfou, Rami and Skiena, Steven},
  Booktitle                = {Proceedings of KDD},
  Year                     = {2014},
  Pages                    = {701--710}
}

@InProceedings{tang2015pte,
  Title                    = {Pte: Predictive text embedding through large-scale heterogeneous text networks},
  Author                   = {Tang, Jian and Qu, Meng and Mei, Qiaozhu},
  Booktitle                = {Proceedings of KDD},
  Year                     = {2015},
  Pages                    = {1165--1174}
}

@InProceedings{tang2015line,
  Title                    = {Line: Large-scale information network embedding},
  Author                   = {Tang, Jian and Qu, Meng and Wang, Mingzhe and Zhang, Ming and Yan, Jun and Mei, Qiaozhu},
  Booktitle                = {Proceedings of WWW},
  Year                     = {2015},
  Pages                    = {1067--1077}
}

@InProceedings{tu2017cane,
  Title                    = {CANE: Context-Aware Network Embedding for Relation Modeling},
  Author                   = {Tu, Cunchao and Liu, Han and Liu, Zhiyuan and Sun, Maosong},
  Booktitle                = {Proceedings of ACL},
  Year                     = {2017}
}

@InProceedings{tu2016max,
  Title                    = {Max-margin DeepWalk: discriminative learning of network representation},
  Author                   = {Tu, Cunchao and Zhang, Weicheng and Liu, Zhiyuan and Sun, Maosong},
  Booktitle                = {Proceedings of IJCAI},
  Year                     = {2016}
}

@InProceedings{tu2017transnet,
  Title                    = {TransNet: Translation-Based Network Representation Learning for Social Relation Extraction},
  Author                   = {Tu, Cunchao and Zhang, Zhengyan and Liu, Zhiyuan and Sun, Maosong},
  Booktitle                = {Proceedings of IJCAI},
  Year                     = {2017}
}

@InProceedings{wang2016structural,
  Title                    = {Structural deep network embedding},
  Author                   = {Wang, Daixin and Cui, Peng and Zhu, Wenwu},
  Booktitle                = {Proceedings of KDD},
  Year                     = {2016},
  Pages                    = {1225--1234}
}

@InProceedings{wang2017community,
  Title                    = {Community Preserving Network Embedding},
  Author                   = {Wang, Xiao and Cui, Peng and Wang, Jing and Pei, Jian and Zhu, Wenwu and Yang, Shiqiang},
  Booktitle                = {Proceedings of AAAI},
  Year                     = {2017}
}

@InProceedings{yang2015network,
  Title                    = {Network representation learning with rich text information},
  Author                   = {Yang, Cheng and Liu, Zhiyuan and Zhao, Deli and Sun, Maosong and Chang, Edward},
  Booktitle                = {Proceedings of IJCAI},
  Year                     = {2015}
}

@InProceedings{yang2017fast,
  Title                    = {Fast Network Embedding Enhancement via High Order Proximity Approximation},
  Author                   = {Yang, Cheng and Sun, Maosong and Liu, Zhiyuan and Tu, Cunchao},
  Booktitle                = {Proceedings of IJCAI},
  Year                     = {2017}
}

@InProceedings{yang2016revisiting,
  Title                    = {Revisiting Semi-Supervised Learning with Graph Embeddings},
  Author                   = {Yang, Zhilin and Cohen, William and Salakhudinov, Ruslan},
  Booktitle                = {Proceedings of ICML},
  Year                     = {2016},
  Pages                    = {40--48}
}