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Expand Up @@ -60,6 +60,7 @@ A collection of papers on deep learning for graph anomaly detection, and publish

| **Paper Title** | **Venue** | **Year** | **Model** | **Code** |
| ------ | :----: | :--: | :----: | :----: |
| [GAD-NR: Graph Anomaly Detection via Neighborhood Reconstruction](https://arxiv.org/abs/2306.01951) | _arXiv_ | 2023 | GAD-NR | [[Code]](https://github.com/Graph-COM/GAD-NR) |
| [ComGA: Community-Aware Attributed Graph Anomaly Detection](https://dl.acm.org/doi/abs/10.1145/3488560.3498389) | _WSDM_ | 2022 | ComGA | [[Code]](https://github.com/XuexiongLuoMQ/ComGA) |
| [Anomaly detection on attributed networks via contrastive self-supervised learning](https://ieeexplore.ieee.org/iel7/5962385/6104215/09395172.pdf) | _TNNLS_ | 2021 | CoLA | [[Code]](https://github.com/GRAND-Lab/CoLA) |
| [Cross-domain graph anomaly detection](https://ieeexplore.ieee.org/iel7/5962385/6104215/09556511.pdf) | _TNNLS_ | 2021 | <center>-</center> | <center>-</center> |
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