# Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/anomaly-detection-on-attributed-networks-via-contrastive-self-supervised/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Yixin Liu,Zhao Li,Shirui Pan,Chen Gong,Chuan Zhou,George Karypis |
| Citations | 462 |
| DOI | 10.1109/tnnls.2021.3068344 |
| Fields | Computer Science,Physics and Astronomy |
| Open Access | true |
| OA Status | green |
| OA URL | https://arxiv.org/pdf/2103.00113 |
| OpenAlex ID | https://openalex.org/W3133518153 |
| PMID | 33819161 |
| Type | article |
| Year | 2021 |

## Paper authors

- [Chen Gong](https://scholariq.org/researchers/chen-gong/)

## Paper journal

- [IEEE Transactions on Neural Networks and Learning Systems](https://scholariq.org/journals/ieee-transactions-on-neural-networks-and-learning-systems/)

## Paper primary topic

- [Advanced Graph Neural Networks](https://scholariq.org/topics/advanced-graph-neural-networks/)

## Paper topics

- [Advanced Graph Neural Networks](https://scholariq.org/topics/advanced-graph-neural-networks/)
- [Complex Network Analysis Techniques](https://scholariq.org/topics/complex-network-analysis-techniques/)
- [Network Security and Intrusion Detection](https://scholariq.org/topics/network-security-and-intrusion-detection/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.