FelixDJC / NLGADLinks
An official source code for paper "Normality Learning-based Graph Anomaly Detection via Multi-Scale Contrastive Learning", accepted by ACM MM 2023.
☆11Updated last year
Alternatives and similar repositories for NLGAD
Users that are interested in NLGAD are comparing it to the libraries listed below
Sorting:
- IJCAI 2022 Attributed Graph Clustering with Dual Redundancy Reduction☆14Updated 10 months ago
- AAAI 2024-Attribute-Missing Graph Clustering Network☆12Updated 2 months ago
- Neighbor Contrastive Learning on Learnable Graph Augmentation☆36Updated last year
- ☆18Updated 2 years ago
- CIKM'23 - HoLe: Homophily-enhanced Structure Learning for Graph Clustering☆10Updated last year
- [IJCAI'23] LSGNN: Towards General Graph Neural Network in Node Classification by Local Similarity☆17Updated 10 months ago
- The official source code for "Class Label-aware Graph Anomaly Detection", accepted at CIKM 2023.☆16Updated 2 years ago
- ☆14Updated 2 years ago
- [TNNLS 2022] Embedding Graph Auto-Encoder for Graph Clustering☆25Updated 3 years ago
- ☆53Updated 2 years ago
- ☆11Updated 2 years ago
- [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating☆52Updated 2 years ago
- IJCAI 2022-Initializing Then Refining: A Simple Graph Attribute Imputation Network☆13Updated last year
- Code for AAAI-2024 paper: Graph Contrastive Invariant Learning from the Causal Perspective☆28Updated last year
- [TPAMI 2022] Adaptive Graph Auto-Encoder for General Data Clustering☆46Updated 2 years ago
- The Pytorch implementation of "NCAGC: A Neighborhood Contrast Framework for Attributed Graph Clustering"☆17Updated last year
- [WSDM'23] GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection☆43Updated 2 years ago
- [TNNLS] Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning☆94Updated 4 years ago
- Implementation of the paper Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation(WSDM22)☆34Updated 3 years ago
- An official source code for paper "Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View", accepted b…☆63Updated last year
- Graph Debiased Contrastive Learning with Joint Representation Clustering☆25Updated 2 years ago
- Official implementation of NeurIPS'23 paper "Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection"☆42Updated last year
- source code of IJCAI 2021 paper "Graph Representation with Curriculum Contrastive Learning"☆26Updated 4 years ago
- The official PyTorch implementation of Cross-Domain Graph Anomaly Detection via Anomaly-aware Contrastive Alignment (AAAI2023, to appear)…☆43Updated 2 years ago
- Dual Fusion-Propagation Graph Neural Network for Multi-View Clustering☆16Updated 4 years ago
- [NeurIPS'23] Towards Self-Interpretable Graph-Level Anomaly Detection☆26Updated last year
- Official PyTorch implementation for the paper ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection (AAAI 2024).☆24Updated 4 months ago
- [TNNLS 2023] An official source code for paper "Simple Contrastive Graph Clustering".☆37Updated 6 months ago
- Code for KDD'22 paper, COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning☆49Updated 2 years ago
- ☆16Updated 2 years ago