Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2103.00113
Cited By
Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning
27 February 2021
Yixin Liu
Zhao Li
Shirui Pan
Chen Gong
Chuan Zhou
George Karypis
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning"
50 / 119 papers shown
Title
CtxMIM: Context-Enhanced Masked Image Modeling for Remote Sensing Image Understanding
Mingming Zhang
Qingjie Liu
Yunhong Wang
17
5
0
28 Sep 2023
Normality Learning-based Graph Anomaly Detection via Multi-Scale Contrastive Learning
Jingcan Duan
Pei Zhang
Siwei Wang
Jingtao Hu
Hu Jin
Jiaxin Zhang
Haifang Zhou
Xinwang Liu
19
9
0
12 Sep 2023
A Survey of Imbalanced Learning on Graphs: Problems, Techniques, and Future Directions
Zemin Liu
Yuan N. Li
Nan-Fang Chen
Qian Wang
Bryan Hooi
Bin He
FaML
11
12
0
26 Aug 2023
Class Label-aware Graph Anomaly Detection
Junghoon Kim
Yeonjun In
Kanghoon Yoon
Junmo Lee
Chanyoung Park
9
9
0
22 Aug 2023
Label-based Graph Augmentation with Metapath for Graph Anomaly Detection
Hwan Kim
Junghoon Kim
Byung Suk Lee
Sungsu Lim
8
0
0
21 Aug 2023
A Graph Encoder-Decoder Network for Unsupervised Anomaly Detection
Mahsa Mesgaran
A. Ben Hamza
18
3
0
15 Aug 2023
Homophily-enhanced Structure Learning for Graph Clustering
Ming Gu
Gaoming Yang
Sheng Zhou
Ning Ma
Jiawei Chen
Qiaoyu Tan
Meihan Liu
Jiajun Bu
22
12
0
10 Aug 2023
Discriminative Graph-level Anomaly Detection via Dual-students-teacher Model
Fu Lin
Xuexiong Luo
Jia Wu
Jian Yang
Shan Xue
Zitong Wang
Haonan Gong
11
4
0
03 Aug 2023
Graph Anomaly Detection at Group Level: A Topology Pattern Enhanced Unsupervised Approach
Xing Ai
Jialong Zhou
Yulin Zhu
Gaolei Li
Tomasz P. Michalak
Xi Luo
Kai Zhou
22
0
0
02 Aug 2023
BOURNE: Bootstrapped Self-supervised Learning Framework for Unified Graph Anomaly Detection
Jie Liu
Mengting He
Xuequn Shang
Jieming Shi
Bin Cui
Hongzhi Yin
11
8
0
28 Jul 2023
Graph-level Anomaly Detection via Hierarchical Memory Networks
Chaoxi Niu
Guansong Pang
Ling-Hao Chen
13
9
0
03 Jul 2023
Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation
Shuang Zhou
Xiao Shi Huang
Ninghao Liu
Huachi Zhou
F. Chung
Longhai Huang
23
22
0
18 Jun 2023
Structure-free Graph Condensation: From Large-scale Graphs to Condensed Graph-free Data
Xin Zheng
Miao Zhang
C. Chen
Quoc Viet Hung Nguyen
Xingquan Zhu
Shirui Pan
DD
24
35
0
05 Jun 2023
GAD-NR: Graph Anomaly Detection via Neighborhood Reconstruction
Amit Roy
Juan Shu
Jia Li
Carl Yang
Olivier Elshocht
Jeroen Smeets
P. Li
26
40
0
02 Jun 2023
Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection
Hezhe Qiao
Guansong Pang
4
24
0
29 May 2023
SAD: Semi-Supervised Anomaly Detection on Dynamic Graphs
Sheng Tian
Jihai Dong
Jintang Li
Wenlong Zhao
Xiaolong Xu
Baokun Wang
Bowen Song
Changhua Meng
Tianyi Zhang
Liang Chen
17
30
0
23 May 2023
Towards Complex Dynamic Physics System Simulation with Graph Neural ODEs
Guangsi Shi
Daokun Zhang
Ming Jin
Shirui Pan
Philip S. Yu
AI4CE
16
2
0
21 May 2023
Revisiting Graph Contrastive Learning for Anomaly Detection
Zhiyuan Liu
Chunjie Cao
Fangjian Tao
Jingzhang Sun
12
5
0
04 May 2023
Decoupling anomaly discrimination and representation learning: self-supervised learning for anomaly detection on attributed graph
Yanming Hu
Chuan Chen
Bowen Deng
Yujing Lai
Hao Lin
Zibin Zheng
Jing Bian
16
1
0
11 Apr 2023
Hierarchically Fusing Long and Short-Term User Interests for Click-Through Rate Prediction in Product Search
Qijie Shen
Hong Wen
Jing Zhang
Qi Rao
9
13
0
04 Apr 2023
Abnormal Event Detection via Hypergraph Contrastive Learning
Bo Yan
Cheng Yang
Chuan Shi
Jiawei Liu
Xiaochen Wang
9
3
0
02 Apr 2023
SeeGera: Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking
Xiang Li
Tiandi Ye
Caihua Shan
Dongsheng Li
Ming Gao
SSL
18
30
0
29 Jan 2023
Few-shot Font Generation by Learning Style Difference and Similarity
Xiao He
Mingrui Zhu
N. Wang
Xinbo Gao
Heng Yang
8
5
0
24 Jan 2023
Subgraph Centralization: A Necessary Step for Graph Anomaly Detection
Zhuang Zhong
Kai Ming Ting
Guansong Pang
Shuaibin Song
11
7
0
17 Jan 2023
A Novel Self-Supervised Learning-Based Anomaly Node Detection Method Based on an Autoencoder in Wireless Sensor Networks
Miao Ye
Qinghao Zhang
Xingsi Xue
Yong Wang
Qiuxiang Jiang
Hongbing Qiu
6
0
0
26 Dec 2022
Coarse-to-Fine Contrastive Learning on Graphs
Peiyao Zhao
Yuangang Pan
Xin Li
Xu Chen
Ivor W. Tsang
L. Liao
SSL
26
4
0
13 Dec 2022
Graph Learning for Anomaly Analytics: Algorithms, Applications, and Challenges
Jing Ren
Feng Xia
Azadeh Noori Hoshyar
Charu C. Aggarwal
22
25
0
11 Dec 2022
Cross-Domain Graph Anomaly Detection via Anomaly-aware Contrastive Alignment
Qizhou Wang
Guansong Pang
Mahsa Salehi
Wray L. Buntine
C. Leckie
13
28
0
02 Dec 2022
Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View
Jingcan Duan
Siwei Wang
Pei Zhang
En Zhu
Jingtao Hu
Huan Jin
Yue Liu
Zhibin Dong
22
78
0
01 Dec 2022
ARISE: Graph Anomaly Detection on Attributed Networks via Substructure Awareness
Jingcan Duan
Bin Xiao
Siwei Wang
Haifang Zhou
Xinwang Liu
AI4TS
10
10
0
28 Nov 2022
Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating
Yixin Liu
Yizhen Zheng
Daokun Zhang
V. Lee
Shirui Pan
14
69
0
25 Nov 2022
Graph Sequential Neural ODE Process for Link Prediction on Dynamic and Sparse Graphs
Linhao Luo
Reza Haffari
Shirui Pan
AI4TS
23
30
0
15 Nov 2022
GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection
Yixin Liu
Kaize Ding
Huan Liu
Shirui Pan
17
52
0
08 Nov 2022
Unsupervised Graph Outlier Detection: Problem Revisit, New Insight, and Superior Method
Yihong Huang
Liping Wang
Fan Zhang
Xuemin Lin
10
19
0
24 Oct 2022
Unifying Graph Contrastive Learning with Flexible Contextual Scopes
Yizhen Zheng
Yu Zheng
Xiaofei Zhou
Chen Gong
V. Lee
Shirui Pan
12
16
0
17 Oct 2022
Graph Anomaly Detection with Graph Neural Networks: Current Status and Challenges
Hwan Kim
Byung Suk Lee
Won-Yong Shin
Sungsu Lim
GNN
17
63
0
29 Sep 2022
Federated Learning from Pre-Trained Models: A Contrastive Learning Approach
Yue Tan
Guodong Long
Jie Ma
Lu Liu
Tianyi Zhou
Jing Jiang
FedML
16
112
0
21 Sep 2022
Hyperbolic Self-supervised Contrastive Learning Based Network Anomaly Detection
Yuan Shi
8
0
0
12 Sep 2022
Rethinking Efficiency and Redundancy in Training Large-scale Graphs
Xin Liu
Xunbin Xiong
Mingyu Yan
Runzhen Xue
Shirui Pan
Xiaochun Ye
Dongrui Fan
8
1
0
02 Sep 2022
Self-Supervised Learning for Anomalous Channel Detection in EEG Graphs: Application to Seizure Analysis
Thi Kieu Khanh Ho
Narges Armanfard
11
43
0
15 Aug 2022
GSim: A Graph Neural Network based Relevance Measure for Heterogeneous Graphs
Linhao Luo
Yixiang Fang
Moli Lu
Xin Cao
Xiaofeng Zhang
Wenjie Zhang
30
3
0
12 Aug 2022
Path-aware Siamese Graph Neural Network for Link Prediction
Jingsong Lv
Zhao Li
Hongyang Chen
Yao Qi
Chunqi Wu
21
3
0
10 Aug 2022
Curved Geometric Networks for Visual Anomaly Recognition
Jie Hong
Pengfei Fang
Weihao Li
Junlin Han
L. Petersson
Mehrtash Harandi
20
6
0
02 Aug 2022
Digraphwave: Scalable Extraction of Structural Node Embeddings via Diffusion on Directed Graphs
Ciwan Ceylan
Kambiz Ghoorchian
Danica Kragic
17
1
0
20 Jul 2022
GCN-based Multi-task Representation Learning for Anomaly Detection in Attributed Networks
Venus Haghighi
Behnaz Soltani
A. Mahmood
Quan.Z Sheng
Jian Yang
14
1
0
08 Jul 2022
Geometry Contrastive Learning on Heterogeneous Graphs
Shichao Zhu
Chuan Zhou
Anfeng Cheng
Shirui Pan
Shuaiqiang Wang
Dawei Yin
Bin Wang
SSL
23
1
0
25 Jun 2022
BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs
Kay Liu
Yingtong Dou
Yue Zhao
Xueying Ding
Xiyang Hu
...
Lichao Sun
Jundong Li
George H. Chen
Zhihao Jia
Philip S. Yu
OOD
19
86
0
21 Jun 2022
From Bi-Level to One-Level: A Framework for Structural Attacks to Graph Anomaly Detection
Yulin Zhu
Y. Lai
Kaifa Zhao
Xi Luo
Min Yuan
Jun Wu
Jian Ren
Kai Zhou
22
1
0
16 Jun 2022
A Survey of Graph-based Deep Learning for Anomaly Detection in Distributed Systems
Armin Danesh Pazho
Ghazal Alinezhad Noghre
Arnab A. Purkayastha
Jagannadh Vempati
Otto Martin
Hamed Tabkhi
GNN
8
32
0
08 Jun 2022
Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination
Yizhen Zheng
Shirui Pan
Vincent C. S. Lee
Yu Zheng
Philip S. Yu
12
94
0
03 Jun 2022
Previous
1
2
3
Next