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:
- A collection of papers for graph anomaly detection, and published algorithms and datasets.☆127Updated last year
- The codes of IJCAI 2021 paper "Temporal Heterogeneous Information Network Embedding"☆15Updated 3 years ago
- ☆30Updated 2 years ago
- ☆31Updated 3 years ago
- Dynamic Relation-Attentive Graph Neural Networks for Fraud Detection (ICDMW 2023)☆25Updated 9 months ago
- [CIKM'23] Time-aware Graph Structure Learning via Sequence Prediction on Temporal Graphs☆20Updated 2 years ago
- A Pytorch implement of paper "Anomaly detection in dynamic graphs via transformer" (TADDY).☆59Updated 3 years ago
- ☆14Updated 2 years ago
- PyTorch Implementation for "Deep Anomaly Detection on Attributed Networks" (SDM2019)☆73Updated 3 years ago
- Data repository for PyGOD☆43Updated last year
- [ACM Computing Surveys'23] Implementations or refactor of some temporal link prediction/dynamic link prediction methods and summary of re…☆56Updated 9 months ago
- [WWW 2024] Code and data for "On the Feasibility of Simple Transformer for Dynamic Graph Modeling"☆31Updated 11 months ago
- Code for IEEE ICDM 23 PREM: A Simple Yet Effective Approach for Node-Level Graph Anomaly Detection☆12Updated last year
- An official source code for paper "Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View", accepted b…☆62Updated last year
- "GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection" in NeurIPS 2023☆130Updated last year
- Official implementation for NeurIPS'24 paper "Generative Semi-supervised Graph Anomaly Detection"☆55Updated 3 weeks ago
- The code of Addgraph frame.☆23Updated 3 years ago
- The paper " ComGA:Community-Aware Attributed Graph Anomaly Detection" was accepted by WSDM 2022.☆36Updated 2 years ago
- [TKDE 2021] A PyTorch implementation of "Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection".☆48Updated 3 years ago
- ☆12Updated 5 months ago
- Implementation of the paper: "Anomaly Detection in Continuous-Time Temporal Provenance Graphs". The code follows the CTDG framework https…☆18Updated last year
- 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
- ☆49Updated 2 years ago
- TREND: TempoRal Event and Node Dynamics for Graph Representation Learning. WWW-2022.☆37Updated last year
- 用于图异常检测的数据集☆44Updated 5 years ago
- The official implementation of the DGA-GNN algorithm.☆26Updated last year
- A Survey of Learning from Graphs with Heterophily☆147Updated 6 months ago
- ☆17Updated last month
- Dynamic graph/network dataset for dynamic graph/network embedding/representation☆36Updated 5 years ago