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Graph Anomaly Detection

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코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/nigelnnk/fairgad

공식 코드

Towards Fair Graph Anomaly Detection: Problem, Benchmark Datasets, and Evaluation

https://github.com/qz-wang/act

공식 코드

Cross-Domain Graph Anomaly Detection via Anomaly-aware Contrastive Alignment

https://github.com/squareroot3/gadbench

공식 코드

GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection

https://github.com/squareroot3/rethinking-anomaly-detection

공식 코드

Rethinking Graph Neural Networks for Anomaly Detection

https://github.com/vasile-paskardlgm/cpf

공식 코드

Partition-wise Graph Filtering: A Unified Perspective Through the Lens of Graph Coarsening

https://github.com/vasile-paskardlgm/tfgnn

공식 코드

Polynomial Selection in Spectral Graph Neural Networks: An Error-Sum of Function Slices Approach

https://github.com/xiongxiaoxu/metagad

공식 코드

MetaGAD: Meta Representation Adaptation for Few-Shot Graph Anomaly Detection

https://github.com/yixinliu233/arc

공식 코드

ARC: A Generalist Graph Anomaly Detector with In-Context Learning

https://github.com/yixinliu233/signet

공식 코드

Towards Self-Interpretable Graph-Level Anomaly Detection

https://github.com/yonatansverdlov/irreducible-representations-of-deep-weight-spaces

공식 코드

Revisiting Multi-Permutation Equivariance through the Lens of Irreducible Representations

https://github.com/yuni-lai/coupledattackrw

공식 코드

Coupled-Space Attacks against Random-Walk-based Anomaly Detection

https://github.com/yuni-lai/dualattackrw

공식 코드

Coupled-Space Attacks against Random-Walk-based Anomaly Detection

https://github.com/zhonglifr/autogad2024

공식 코드

Towards Automated Self-Supervised Learning for Truly Unsupervised Graph Anomaly Detection

https://github.com/zhuergou/energy-transformer-for-graph-anomaly-detection

공식 코드

Energy Transformer

https://github.com/zjs123/anot

공식 코드

Online Detection of Anomalies in Temporal Knowledge Graphs with Interpretability

https://github.com/Kaslanarian/SAGOD

One-Class Graph Neural Networks for Anomaly Detection in Attributed Networks

https://github.com/Muyiiiii/WWW25-Grad

https://github.com/ai4risk/antifraud

https://github.com/betterzhou/AugAN

Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation

https://github.com/kimmeen/sl-gad

Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection

https://github.com/pygod-team/pygod

One-Class Graph Neural Networks for Anomaly Detection in Attributed Networks

https://huggingface.co/Muyiiiii-HF/WWW25-Grad

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.