FelixDJC / NLGADLinks
An official source code for paper "Normality Learning-based Graph Anomaly Detection via Multi-Scale Contrastive Learning", accepted by ACM MM 2023.
☆12Updated 2 years ago
Alternatives and similar repositories for NLGAD
Users that are interested in NLGAD are comparing it to the libraries listed below
Sorting:
- Implementation of the paper Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation(WSDM22)☆35Updated 4 years ago
- IJCAI 2022 Attributed Graph Clustering with Dual Redundancy Reduction☆15Updated last year
- [NeurIPS'23] Towards Self-Interpretable Graph-Level Anomaly Detection☆30Updated last year
- The Pytorch implementation of "NCAGC: A Neighborhood Contrast Framework for Attributed Graph Clustering"☆17Updated last year
- ☆19Updated 2 years ago
- [TKDE 2021] A PyTorch implementation of "Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection".☆48Updated 4 years ago
- Code for Graph-level Anomaly Detection via Hierarchical Memory Networks (HimNet)☆18Updated 2 years ago
- CIKM 23 Oral - HoLe: Homophily-enhanced Structure Learning for Graph Clustering☆10Updated last year
- AAAI 2024-Attribute-Missing Graph Clustering Network☆15Updated 6 months ago
- [TNNLS] Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning☆99Updated 4 years ago
- ☆14Updated 2 years ago
- [IJCAI'23] LSGNN: Towards General Graph Neural Network in Node Classification by Local Similarity☆17Updated last year
- An official source code for paper "Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View", accepted b…☆65Updated 2 years ago
- ☆55Updated 3 years ago
- Source code for NeurIPS 2022 paper "Uncovering the Structural Fairness in Graph Contrastive Learning"☆29Updated 3 years ago
- The paper " ComGA:Community-Aware Attributed Graph Anomaly Detection" was accepted by WSDM 2022.☆37Updated 3 years ago
- Source Code for Graph Anomaly Detection with Unsupervised GNNs (ICDM2022)☆12Updated 3 years ago
- [TPAMI 2022] Adaptive Graph Auto-Encoder for General Data Clustering☆47Updated 2 years ago
- The official PyTorch implementation of Cross-Domain Graph Anomaly Detection via Anomaly-aware Contrastive Alignment (AAAI2023, to appear)…☆44Updated 3 years ago
- ☆12Updated 3 years ago
- Official PyTorch implementation for the paper ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection (AAAI 2024).☆29Updated 8 months ago
- The paper "Deep Graph Level Anomaly Detection with Contrastive Learning" has been accepted by Scientific Reports Journal.☆12Updated 2 years ago
- [TNNLS 2022] Embedding Graph Auto-Encoder for Graph Clustering☆26Updated 3 years ago
- Contrastive Attributed Network Anomaly Detection with Data Augmentation (PAKDD'22)☆29Updated 3 years ago
- [WSDM'23] GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection☆45Updated 2 years ago
- [NeurIPS'24] ARC: A Generalist Graph Anomaly Detector with In-Context Learning☆28Updated last year
- Code for KDD'22 paper, COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning☆49Updated 2 years ago
- [CIKM 2021] A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning".☆49Updated 4 years ago
- AAAI 2021-Deep Fusion Clustering Network☆85Updated last year
- Official Code for IJCAI25 paper "Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood Prompts"☆23Updated 7 months ago