jhsk777 / SLADELinks
This is the source code for [SLADE: Detecting Dynamic Anomalies in Edge Streams without Labels via Self-Supervised Learning]
☆14Updated last year
Alternatives and similar repositories for SLADE
Users that are interested in SLADE are comparing it to the libraries listed below
Sorting:
- PyTorch Implementation for "Deep Anomaly Detection on Attributed Networks" (SDM2019)☆73Updated 3 years ago
- A collection of papers for graph anomaly detection, and published algorithms and datasets.☆127Updated last year
- ☆31Updated 3 years ago
- ☆14Updated 2 years ago
- Dynamic Relation-Attentive Graph Neural Networks for Fraud Detection (ICDMW 2023)☆22Updated 8 months ago
- Code for IEEE ICDM 23 PREM: A Simple Yet Effective Approach for Node-Level Graph Anomaly Detection☆12Updated last year
- Data repository for PyGOD☆43Updated last year
- "GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection" in NeurIPS 2023☆129Updated last year
- [WWW 2024] Code and data for "On the Feasibility of Simple Transformer for Dynamic Graph Modeling"☆30Updated 10 months ago
- [CIKM'23] Time-aware Graph Structure Learning via Sequence Prediction on Temporal Graphs☆20Updated 2 years ago
- ☆11Updated 5 months ago
- ☆29Updated 2 years ago
- ☆23Updated last year
- A Pytorch implement of paper "Anomaly detection in dynamic graphs via transformer" (TADDY).☆59Updated 3 years ago
- The paper " ComGA:Community-Aware Attributed Graph Anomaly Detection" was accepted by WSDM 2022.☆36Updated 2 years ago
- Official implementation for NeurIPS'24 paper "Generative Semi-supervised Graph Anomaly Detection"☆55Updated 3 weeks ago
- [ACM Computing Surveys'23] Implementations or refactor of some temporal link prediction/dynamic link prediction methods and summary of re…☆56Updated 9 months ago
- An official source code for paper "Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View", accepted b…☆62Updated last year
- The official implementation of the DGA-GNN algorithm.☆27Updated last year
- [TKDE 2021] A PyTorch implementation of "Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection".☆47Updated 3 years ago
- [TNNLS] Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning☆94Updated 4 years ago
- (WWW 2021) Source code of PC-GNN☆105Updated 3 years ago
- ☆49Updated 2 years ago
- Fraud Detection, Low Homophily, Label Utilization, Graph Mining☆49Updated last year
- Source Code for Paper "DAGAD: Data Augmentation for Graph Anomaly Detection" ICDM 2022☆19Updated 2 years ago
- ☆38Updated 3 years ago
- The official implementation of DiG-In-GNN (AAAI 2024)☆20Updated last year
- The codes of IJCAI 2021 paper "Temporal Heterogeneous Information Network Embedding"☆15Updated 3 years ago
- A Survey of Learning from Graphs with Heterophily☆145Updated 5 months ago
- A library for static attributed graph outlier detection. 静态属性图节点的异常检测模型集。☆31Updated last year