forked from thunlp/NRLPapers
-
Notifications
You must be signed in to change notification settings - Fork 0
/
nrl.bib
204 lines (176 loc) · 7.89 KB
/
nrl.bib
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
% This file was created with JabRef 2.10.
% Encoding: UTF-8
@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}
}
@InProceedings{chang2015heterogeneous,
title={Heterogeneous Network Embedding via Deep Architectures},
author={Chang, Shiyu and Han, Wei and Tang, Jiliang and Qi, Guo-Jun and Aggarwal, Charu C and Huang, Thomas S},
booktitle={Proceedings of KDD},
pages={119--128},
year={2015}
}
@InProceedings{cao2016deep,
title={Deep Neural Networks for Learning Graph Representations},
author={Cao, Shaosheng and Lu, Wei and Xu, Qiongkai},
booktitle={Proceedings of AAAI},
pages={1145--1152},
year={2016}
}
@InProceedings{dong2017metapath,
title={metapath2vec: Scalable Representation Learning for Heterogeneous Networks},
author={Dong, Yuxiao and Chawla, Nitesh V and Swami, Ananthram},
booktitle={Proceedings of KDD},
year={2017}
}
@InProceedings{ye2017learning,
title={Learning from Labeled and Unlabeled Vertices in Networks},
author={Ye, Wei and Zhou, Linfei and Mautz, Dominik and Plant, Claudia and Böhm, Christian},
booktitle={Proceedings of KDD},
year={2017}
}
@InProceedings{cheng2017unsupervised,
title={Unsupervised Feature Selection in Signed Social Networks},
author={Cheng, Kewei and Li, Jundong and Liu, Huan},
booktitle={Proceedings of KDD},
year={2017}
}
@InProceedings{ribeiro2017struc2vec,
title={struc2vec: Learning Node Representations from Structural Identity},
author={Ribeiro, Leonardo F. R. and Saverese, Pedro H. P. and Figueiredo, Daniel R.},
booktitle={Proceedings of KDD},
year={2017}
}
@InProceedings{hamilton2017inductive,
title={Inductive Representation Learning on Large Graphs},
author={Hamilton, William L and Ying, Rex and Leskovec, Jure},
booktitle={Proceedings of NIPS},
year={2017}
}
@InProceedings{li2017variation,
title={Variation Autoencoder Based Network Representation Learning for Classification},
author={Li, Hang and Wang, Haozheng and Yang, Zhenglu and Odagaki, Masato},
booktitle={Proceedings of ACL},
year={2017}
}
@InProceedings{lai2017preserving,
title={Preserving Proximity and Global Ranking for Node Embedding},
author={Lai, Yi-An and Hsu, Chin-Chi and Chen, Wenhao and Yeh, Mi-Yen and Lin, Shou-De},
booktitle={Proceedings of NIPS},
year={2017}
}
@InProceedings{hamilton2017inductive,
title={Learning Graph Embeddings with Embedding Propagation},
author={Duran, Alberto Garcia and Niepert, Mathias},
booktitle={Proceedings of NIPS},
year={2017}
}