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Semi-supervised Embedding in Attributed Networks with Outliers
23 March 2017
Jiongqian Liang
Peter Jacobs
Jiankai Sun
Srinivasan Parthasarathy
BDL
Re-assign community
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Papers citing
"Semi-supervised Embedding in Attributed Networks with Outliers"
31 / 31 papers shown
Alleviating Structural Distribution Shift in Graph Anomaly Detection
Web Search and Data Mining (WSDM), 2023
Yuan Gao
Xiang Wang
Xiangnan He
Zhenguang Liu
Huamin Feng
Yongdong Zhang
328
84
0
25 Jan 2024
Normality Learning-based Graph Anomaly Detection via Multi-Scale Contrastive Learning
ACM Multimedia (ACM MM), 2023
Jingcan Duan
Pei Zhang
Siwei Wang
Jingtao Hu
Hu Jin
Jiaxin Zhang
Haifang Zhou
Xinwang Liu
295
23
0
12 Sep 2023
Domain-adaptive Message Passing Graph Neural Network
Neural Networks (Neural Netw.), 2023
X. Shen
Shirui Pan
K. Choi
Xiaoping Zhou
290
26
0
31 Aug 2023
A Survey of Imbalanced Learning on Graphs: Problems, Techniques, and Future Directions
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023
Zemin Liu
Yuan N. Li
Nan-Fang Chen
Qian Wang
Bryan Hooi
Bin He
FaML
257
28
0
26 Aug 2023
MultiBiSage: A Web-Scale Recommendation System Using Multiple Bipartite Graphs at Pinterest
Proceedings of the VLDB Endowment (PVLDB), 2022
Saket Gurukar
Nikil Pancha
Andrew Zhai
Eric Kim
Samson Hu
Srinivas Parthasarathy
Charles R. Rosenberg
J. Leskovec
306
20
0
21 May 2022
DropMessage: Unifying Random Dropping for Graph Neural Networks
AAAI Conference on Artificial Intelligence (AAAI), 2022
Taoran Fang
Zhiqing Xiao
Chunping Wang
Jiarong Xu
Xuan Yang
Yang Yang
339
68
0
21 Apr 2022
Semi-supervised Network Embedding with Differentiable Deep Quantisation
Tao He
Lianli Gao
Jingkuan Song
Yuan-Fang Li
277
7
0
20 Aug 2021
A Comprehensive Survey on Graph Anomaly Detection with Deep Learning
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021
Xiaoxiao Ma
Hongzhi Zhang
Shan Xue
Jian Yang
Chuan Zhou
Quan Z. Sheng
Hui Xiong
Leman Akoglu
GNN
AI4TS
428
708
0
14 Jun 2021
Hop-Count Based Self-Supervised Anomaly Detection on Attributed Networks
Tianjin Huang
Yulong Pei
Vlado Menkovski
Mykola Pechenizkiy
246
45
0
16 Apr 2021
Graph Neural Network to Dilute Outliers for Refactoring Monolith Application
AAAI Conference on Artificial Intelligence (AAAI), 2021
Utkarsh Desai
S. Bandyopadhyay
Srikanth G. Tamilselvam
119
79
0
07 Feb 2021
Cyclic Label Propagation for Graph Semi-supervised Learning
World wide web (Bussum) (WWW), 2020
Zhao Li
Yixin Liu
Zhen Zhang
Shirui Pan
Jianliang Gao
Jiajun Bu
178
9
0
24 Nov 2020
ResGCN: Attention-based Deep Residual Modeling for Anomaly Detection on Attributed Networks
Yulong Pei
Tianjin Huang
Werner van Ipenburg
Mykola Pechenizkiy
GNN
203
104
0
30 Sep 2020
Integrating Network Embedding and Community Outlier Detection via Multiclass Graph Description
S. Bandyopadhyay
Saley Vishal Vivek
M. Murty
121
7
0
20 Jul 2020
Semi-supervised Anomaly Detection on Attributed Graphs
IEEE International Joint Conference on Neural Network (IJCNN), 2020
Atsutoshi Kumagai
Tomoharu Iwata
Yasuhiro Fujiwara
152
48
0
27 Feb 2020
Semi-supervisedly Co-embedding Attributed Networks
Neural Information Processing Systems (NeurIPS), 2019
Zaiqiao Meng
Shangsong Liang
Jinyuan Fang
Teng Xiao
GNN
DRL
108
27
0
31 Oct 2019
Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2019
Quanyu Dai
Xiao-Ming Wu
Jiaren Xiao
Xiao Shen
Dan Wang
OOD
307
121
0
04 Sep 2019
SurfCon: Synonym Discovery on Privacy-Aware Clinical Data
Knowledge Discovery and Data Mining (KDD), 2019
Zhen Wang
Xiang Yue
Soheil Moosavinasab
Yungui Huang
Simon M. Lin
Huan Sun
132
15
0
21 Jun 2019
A Review of Semi Supervised Learning Theories and Recent Advances
E. Tu
Jie Yang
146
16
0
28 May 2019
Network Representation Learning: Consolidation and Renewed Bearing
Saket Gurukar
Priyesh Vijayan
Aakash Srinivasan
Goonmeet Bajaj
Chen Cai
...
Pranav Maneriker
Anasua Mitra
Vedang Patel
Balaraman Ravindran
Srinivasan Parthasarathy
204
24
0
02 May 2019
Deep Representation Learning for Social Network Analysis
Qiaoyu Tan
Ninghao Liu
Helen Zhou
AI4TS
GNN
149
113
0
18 Apr 2019
Micro- and Macro-Level Churn Analysis of Large-Scale Mobile Games
Xi Liu
Muhe Xie
Xidao Wen
Rui Chen
Yong Ge
N. Duffield
Na Wang
129
21
0
14 Jan 2019
Outlier Aware Network Embedding for Attributed Networks
AAAI Conference on Artificial Intelligence (AAAI), 2018
S. Bandyopadhyay
N. Lokesh
M. Murty
160
101
0
19 Nov 2018
Symmetrization for Embedding Directed Graphs
AAAI Conference on Artificial Intelligence (AAAI), 2018
Jiankai Sun
Srinivasan Parthasarathy
86
0
0
06 Nov 2018
ATP: Directed Graph Embedding with Asymmetric Transitivity Preservation
Jiankai Sun
Bortik Bandyopadhyay
Armin Bashizade
Jiongqian Liang
P. Sadayappan
Srinivasan Parthasarathy
165
51
0
02 Nov 2018
A Semi-Supervised and Inductive Embedding Model for Churn Prediction of Large-Scale Mobile Games
Xi Liu
Muhe Xie
Xidao Wen
Rui Chen
Yong Ge
N. Duffield
Na Wang
149
46
0
20 Aug 2018
ColdRoute: Effective Routing of Cold Questions in Stack Exchange Sites
Data mining and knowledge discovery (DMKD), 2018
Jiankai Sun
Abhinav Vishnu
Aniket Chakrabarti
Charles Siegel
Srinivasan Parthasarathy
104
19
0
02 Jul 2018
MILE: A Multi-Level Framework for Scalable Graph Embedding
International Conference on Web and Social Media (ICWSM), 2018
Jiongqian Liang
Saket Gurukar
Srinivas Parthasarathy
GNN
220
82
0
26 Feb 2018
Learning Role-based Graph Embeddings
Nesreen Ahmed
Ryan Rossi
J. B. Lee
Theodore L. Willke
R. Zhou
Xiangnan Kong
Hoda Eldardiry
279
102
0
07 Feb 2018
HONE: Higher-Order Network Embeddings
Ryan A. Rossi
Nesreen Ahmed
Eunyee Koh
Sungchul Kim
Anup B. Rao
Yasin Abbasi-Yadkori
206
23
0
28 Jan 2018
RUM: network Representation learning throUgh Multi-level structural information preservation
Yanlei Yu
Zhiwu Lu
Jiajun Liu
Guoping Zhao
Ji-Rong Wen
Kai Zheng
69
2
0
08 Oct 2017
A Framework for Generalizing Graph-based Representation Learning Methods
Nesreen Ahmed
Ryan A. Rossi
R. Zhou
J. B. Lee
Xiangnan Kong
Theodore L. Willke
Hoda Eldardiry
189
20
0
14 Sep 2017
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