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Graph Anomaly Detection

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Showing 51–87 of 87 papers

TitleStatusHype
Revisiting Multi-Permutation Equivariance through the Lens of Irreducible RepresentationsCode0
PieClam: A Universal Graph Autoencoder Based on Overlapping Inclusive and Exclusive Communities—0
Towards Multi-view Graph Anomaly Detection with Similarity-Guided Contrastive Clustering—0
A Methodological Report on Anomaly Detection on Dynamic Knowledge Graphs—0
Online Detection of Anomalies in Temporal Knowledge Graphs with InterpretabilityCode0
Graph Anomaly Detection with Noisy Labels by Reinforcement Learning—0
Counterfactual Data Augmentation with Denoising Diffusion for Graph Anomaly DetectionCode0
Enhancing Fairness in Unsupervised Graph Anomaly Detection through DisentanglementCode0
Guarding Graph Neural Networks for Unsupervised Graph Anomaly Detection—0
Polynomial Selection in Spectral Graph Neural Networks: An Error-Sum of Function Slices ApproachCode0
Temporal Graph Networks for Graph Anomaly Detection in Financial Networks—0
Generation is better than Modification: Combating High Class Homophily Variance in Graph Anomaly Detection—0
Three Revisits to Node-Level Graph Anomaly Detection: Outliers, Message Passing and Hyperbolic Neural NetworksCode0
FGAD: Self-boosted Knowledge Distillation for An Effective Federated Graph Anomaly Detection Framework—0
Multitask Active Learning for Graph Anomaly DetectionCode0
Reinforcement Neighborhood Selection for Unsupervised Graph Anomaly Detection—0
Few-shot Message-Enhanced Contrastive Learning for Graph Anomaly Detection—0
Open-Set Graph Anomaly Detection via Normal Structure Regularisation—0
GRAM: An Interpretable Approach for Graph Anomaly Detection using Gradient Attention Maps—0
Label-based Graph Augmentation with Metapath for Graph Anomaly DetectionCode0
Crowdsourcing Fraud Detection over Heterogeneous Temporal MMMA GraphCode0
Graph Anomaly Detection at Group Level: A Topology Pattern Enhanced Unsupervised Approach—0
BOURNE: Bootstrapped Self-supervised Learning Framework for Unified Graph Anomaly Detection—0
Coupled-Space Attacks against Random-Walk-based Anomaly DetectionCode0
MetaGAD: Meta Representation Adaptation for Few-Shot Graph Anomaly DetectionCode0
Graph Anomaly Detection in Time Series: A Survey—0
Mul-GAD: a semi-supervised graph anomaly detection framework via aggregating multi-view informationCode0
Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View—0
ARISE: Graph Anomaly Detection on Attributed Networks via Substructure Awareness—0
MGADN: A Multi-task Graph Anomaly Detection Network for Multivariate Time Series—0
Graph Anomaly Detection with Graph Neural Networks: Current Status and Challenges—0
AHEAD: A Triple Attention Based Heterogeneous Graph Anomaly Detection ApproachCode0
DGraph: A Large-Scale Financial Dataset for Graph Anomaly Detection—0
From Unsupervised to Few-shot Graph Anomaly Detection: A Multi-scale Contrastive Learning Approach—0
On Generalization of Graph Autoencoders with Adversarial TrainingCode0
Action Sequence Augmentation for Early Graph-based Anomaly DetectionCode0
Multi-Level Anomaly Detection on Time-Varying Graph Data—0
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