brandeis-machine-learning / FairOutlierDetection
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:
- Contrastive Attributed Network Anomaly Detection with Data Augmentation (PAKDD'22)☆26Updated 2 years ago
- Resources and environment for unsupervised outlier model selection (UOMS)☆23Updated 2 years ago
- my implement of my paper☆63Updated 3 years ago
- ☆18Updated 4 years ago
- ☆24Updated 2 years ago
- Anomaly Detection in Dynamic Graphs☆32Updated last year
- Reproducing the results of the paper Continuous-time Dynamic Network Embeddings☆30Updated 5 years ago
- Author: Daheng Wang (dwang8@nd.edu). KDD'20. Modeling temporal graphs.☆19Updated last year
- LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks☆44Updated 2 years ago
- [CIKM 2021] A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning".☆49Updated 3 years ago
- Implementation of TheWebConf 2021 -- Few-shot Network Anomaly Detection via Cross-network Meta-learning☆57Updated last year
- Implementation of WSDM2019 -- Interactive Anomaly Detection on Attributed Networks☆14Updated 4 years ago
- Defending graph neural networks against adversarial attacks (NeurIPS 2020)☆64Updated last year
- ☆50Updated 2 years ago
- A PyTorch implementation of "Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Informati…☆64Updated 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
- A curated list of publications and code about data augmentaion for graphs.☆63Updated 2 years ago
- Code for paper https://arxiv.org/abs/2102.13186☆44Updated 4 years ago
- Multi-scale Anomaly Detection on Attributed Networks☆14Updated 3 years ago
- [ICLR 2022] Implementation of paper "Automated Self-Supervised Learning for Graphs"☆42Updated 2 years ago
- Explainable recommendation via interpretable feature mapping☆18Updated 5 years ago
- Spatio-Temporal Attentive RNN for Node Classification in Temporal Attributed Graphs (IJCAI'19)☆20Updated 3 years ago
- Official code implementation for CIKM 21 paper Detecting Communities from Heterogeneous Graphs: A Context Path-based Graph Neural Network…☆38Updated 3 years ago
- [TKDE 2021] A PyTorch implementation of "Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection".☆46Updated 3 years ago
- Code for ICML2019 Paper "Compositional Invariance Constraints for Graph Embeddings"☆50Updated 4 years ago
- Rethinking Graph Regularization for Graph Neural Networks (AAAI2021)☆34Updated 3 years ago
- The code and data of SIGIR21 paper "Package Recommendation with Intra- and Inter-Package Attention Networks".☆12Updated 3 years ago
- Pytorch code for TM-GCN, a Dynamic Graph Convolutional Networks Using the Tensor M-Product☆28Updated 3 years ago