brandeis-machine-learning / FairOutlierDetectionLinks
Code for SIGKDD'2021 paper: Deep Clustering based Fair Outlier Detection
☆11Updated 3 years ago
Alternatives and similar repositories for FairOutlierDetection
Users that are interested in FairOutlierDetection are comparing it to the libraries listed below
Sorting:
- Resources and environment for unsupervised outlier model selection (UOMS)☆23Updated 2 years ago
- Contrastive Attributed Network Anomaly Detection with Data Augmentation (PAKDD'22)☆26Updated 2 years ago
- LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks☆44Updated 2 years ago
- Reproducing the results of the paper Continuous-time Dynamic Network Embeddings☆30Updated 5 years ago
- my implement of my paper☆63Updated 3 years ago
- Anomaly Detection in Dynamic Graphs☆32Updated last year
- TNNLS: A Synergistic Approach for Graph Anomaly Detection with Pattern Mining and Feature Learning; CIKM'20: Error-bounded Graph Anomaly …☆42Updated last year
- Adversarial learning by utilizing model interpretation☆10Updated 6 years ago
- Deep distance-based outlier detection published in KDD18: Learning representations specifically for distance-based outlier detection. Few…☆48Updated 4 years ago
- ☆50Updated 2 years ago
- ☆24Updated 2 years ago
- Implementation of TheWebConf 2021 -- Few-shot Network Anomaly Detection via Cross-network Meta-learning☆56Updated last year
- [CIKM 2021] A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning".☆49Updated 3 years ago
- Implementation of WSDM2019 -- Interactive Anomaly Detection on Attributed Networks☆14Updated 4 years ago
- Implementation of "Bayesian Robust Attributed Graph Clustering: Joint Learning of Partial Anomalies and Group Structure".☆24Updated 5 years ago
- AnomalyDAE (ICASSP2020)☆51Updated 5 years ago
- Code for “ACE-HGNN: Adaptive Curvature ExplorationHyperbolic Graph Neural Network”☆15Updated 3 years ago
- Defending graph neural networks against adversarial attacks (NeurIPS 2020)☆64Updated last year
- Multi-scale Anomaly Detection on Attributed Networks☆14Updated 3 years ago
- A study of distance measures and learning methods for semi-supervised learning on time series data☆17Updated 3 years ago
- [WWW2022] Geometric Graph Representation Learning via Maximizing Rate Reduction☆26Updated 3 years ago
- Code for paper https://arxiv.org/abs/2102.13186☆44Updated 4 years ago
- A PyTorch implementation of "Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Informati…☆65Updated last year
- ☆38Updated 3 years ago
- ☆18Updated 3 years ago
- Papers on trustworthy anomaly detection☆29Updated last year
- A PyTorch implementation of "SelfGNN: Self-supervised Graph Neural Networks without explicit negative sampling" paper, which appeared in …☆30Updated 3 years ago
- PyTorch code of "SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks"☆88Updated 3 years ago
- ☆21Updated last year
- Code of the paper Fair k-Means Clustering☆13Updated 3 years ago