On community outliers and their efficient detection in information networks

No abstract is available for this paper.

• Publication year

  2010

• Venue

  Knowledge Discovery and Data Mining

• Publication date

  2010-07-25

• Fields of study

  Computer Science

• Identifiers
  DOI 10.1145/1835804.1835907
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Discovering Contexts and Contextual Outliers Using Random Walks in Graphs

  2009cited by this paper
• Anomaly detection: A survey

  2009cited by this paper
• Combining link and content for community detection: a discriminative approach

  2009cited by this paper
• Scalable community discovery on textual data with relations

  2008cited by this paper
• SCAN: a structural clustering algorithm for networks

  2007cited by this paper
• Introduction to Statistical Relational Learning

  2007cited by this paper
• A tutorial on spectral clustering

  2007cited by this paper
• A probabilistic framework for relational clustering

  2007cited by this paper
• Introduction to statistical relational learning

  2007cited by this paper
• A Novel Framework for Incorporating Labeled Examples into Anomaly Detection

  2006cited by this paper
• Joint Cluster Analysis of Attribute Data and Relationship Data: the Connected k-Center Problem

  2006cited by this paper
• Semi-supervised adapted HMMs for unusual event detection

  2005cited by this paper
• Group and Topic Discovery from Relations and Their Attributes

  2005cited by this paper
• Neighborhood formation and anomaly detection in bipartite graphs

  2005cited by this paper
• Clustering with Bregman Divergences

  2005cited by this paper
• Unsupervised Outlier Detection and Semi-Supervised Learning

  2004cited by this paper
• Unsupervised Outlier Detection and Semi-Supervised Learning ; CU-CS-976-04

  2004cited by this paper
• A probabilistic framework for semi-supervised clustering

  2004cited by this paper
• On local spatial outliers

  2004cited by this paper
• Novelty detection: a review - part 1: statistical approaches

  2003cited by this paper
• Graph-based anomaly detection

  2003cited by this paper
• SimRank: a measure of structural-context similarity

  2002cited by this paper
• Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm

  2001cited by this paper
• Community structure in social and biological networks

  2001cited by this paper
• Detecting graph-based spatial outliers: algorithms and applications (a summary of results)

  2001cited by this paper
• LOF: identifying density-based local outliers

  2000cited by this paper
• Distance-based outliers: algorithms and applications

  2000cited by this paper
• Anomaly Detection over Noisy Data using Learned Probability Distributions

  2000cited by this paper
• Authoritative sources in a hyperlinked environment

  1999cited by this paper
• A Fast and High Quality Multilevel Scheme for Partitioning Irregular Graphs

  1998cited by this paper
• Normalized cuts and image segmentation

  1997cited by this paper
• Markov Random Field Modeling in Computer Vision

  1995cited by this paper
• On the Statistical Analysis of Dirty Pictures

  1986cited by this paper
• Spatial Interaction and the Statistical Analysis of Lattice Systems

  1974cited by this paper
• Ieee Transactions on Knowledge and Data Engineering 1 Conditional Anomaly Detection

  year unknowncited by this paper

• Estimating Node Abnormalities From Imprecise Subgraph-Level Supervision

  2026cites this paper
• Graph variational autoencoder with affinity propagation for community-aware anomaly detection in attributed networks

  2025cites this paper
• The Architecture of Digital Deception: Mapping Fake News Typologies, Bot Behaviors, and Platform Vulnerabilities

  2025cites this paper
• Unsupervised Graph Anomaly Detection via Multi-Hypersphere Heterophilic Graph Learning

  2025cites this paper
• NetVigil: Robust and Low-Cost Anomaly Detection for East-West Data Center Security

  2024cites this paper
• DeepInsight: Topology Changes Assisting Detection of Adversarial Samples on Graphs

  2024cites this paper
• RT-APT: A real-time APT anomaly detection method for large-scale provenance graph

  2024cites this paper
• A Full-Granularity Anomaly Detection Model Based on Attribute-Enhanced Sampling

  2024cites this paper
• NovSRC: A Novelty-Oriented Scientific Collaborators Recommendation Model

  2024cites this paper
• Community anomaly detection in attribute networks based on refining context

  2024influential citation
• Simple Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks

  2024cites this paper
• Anomaly Detection in Graph Structured Data: A Survey

  2024cites this paper
• Neighborhood Enhancement based Residual Analysis Model for Anomaly Detection on Attributed Graph

  2024cites this paper
• A survey of anomaly detection techniques

  2024cites this paper
• Social Robot Recognition Based on E-GraphCTAGE Model: Integration of Facial Expression And Multi-feature Processing

  2024cites this paper
• Relationship Prediction based Anomaly Detection in Heterogeneous Information Networks

  2023cites this paper
• MVAD HAN: A Multi-View Based Anomaly Detection Method for Heterogeneous Attributed Networks

  2023cites this paper
• Graph Neural Networks for temporal graphs: State of the art, open challenges, and opportunities

  2023cites this paper
• Anomaly Discover: A New Community-based Approach for Detecting Anomalies in Social Networks

  2023cites this paper
• Deep Semi-supervised Anomaly Detection with Metapath-based Context Knowledge

  2023cites this paper
• A Graph Autoencoder-based Anomaly Detection Method for Attributed Networks

  2023cites this paper
• Open-Set Graph Anomaly Detection via Normal Structure Regularisation

  2023cites this paper
• Interaction-Focused Anomaly Detection on Bipartite Node-and-Edge-Attributed Graphs

  2023cites this paper
• Label-based graph augmentation with metapath for graph anomaly detection

  2023cites this paper
• A deep co-evolution architecture for anomaly detection in dynamic networks

  2023cites this paper
• Unsupervised Transformer-Based Anomaly Detection in ECG Signals

  2023cites this paper
• Trans-DAE: Transformer-based Double Autoencoder for Anomaly Detection on Attributed Networks

  2023cites this paper
• GCN-based Multi-task Representation Learning for Anomaly Detection in Attributed Networks

  2022cites this paper
• Unsupervised Identification of Abnormal Nodes and Edges in Graphs

  2022cites this paper
• Cross-Domain Graph Anomaly Detection via Anomaly-aware Contrastive Alignment

  2022cites this paper
• CEP3: Community Event Prediction with Neural Point Process on Graph

  2022cites this paper
• AHEAD: A Triple Attention Based Heterogeneous Graph Anomaly Detection Approach

  2022cites this paper
• DVAEGMM: Dual Variational Autoencoder With Gaussian Mixture Model for Anomaly Detection on Attributed Networks

  2022cites this paper
• Spammer detection via ranking aggregation of group behavior

  2022cites this paper
• Anomaly detection and community detection in networks

  2022cites this paper
• A new approach for removing point cloud outliers using box plot

  2022cites this paper
• Alone We Can Do So Little; Together We Cannot Be Detected

  2022cites this paper
• Learning graph deep autoencoder for anomaly detection in multi-attributed networks

  2022cites this paper
• Community-based anomaly detection using spectral graph filtering

  2022cites this paper
• ComGA: Community-Aware Attributed Graph Anomaly Detection

  2022cites this paper
• An efficient framework for anomaly detection in attributed social networks

  2022cites this paper
• Detecting Anomalies in Network Communities Based on Structural and Attribute Deviation

  2022cites this paper
• An Attributed Network Anomaly Detection Method Based on Dual Autoencoder Joint Embedding

  2022cites this paper
• Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation

  2022cites this paper
• Contextual Anomaly Detection Methods for Addressing Intrusion Detection

  2021cites this paper
• Subtractive Aggregation for Attributed Network Anomaly Detection

  2021cites this paper
• Directed mixed membership stochastic blockmodel

  2021cites this paper
• A Synergistic Approach for Graph Anomaly Detection With Pattern Mining and Feature Learning

  2021cites this paper
• Context-Aware Telco Outdoor Localization

  2021cites this paper
• Certain Strategic Study on Machine Learning-Based Graph Anomaly Detection

  2021cites this paper
• Unsupervised Anomaly Detection in Knowledge Graphs

  2021cites this paper
• Who Should Deserve Investment? Attractive Individual and Group Search in Dynamic Information Networks

  2021cites this paper
• ORCA: Outlier detection and Robust Clustering for Attributed graphs

  2021cites this paper
• Unveiling Anomalous Nodes Via Random Sampling and Consensus on Graphs

  2021cites this paper
• SOK: Fake News Outbreak 2021: Can We Stop the Viral Spread?

  2021cites this paper
• Self-Adaption AAE-GAN for Aluminum Electrolytic Cell Anomaly Detection

  2021cites this paper
• Temporal Outlier Analysis

  2021cites this paper
• Attractive community detection in academic social network

  2021cites this paper
• Hop-Count Based Self-Supervised Anomaly Detection on Attributed Networks

  2021cites this paper
• Mining Fraudsters and Fraudulent Strategies in Large-Scale Mobile Social Networks

  2021cites this paper
• Density Sensitive Random Walk for Local Community Detection

  2021cites this paper
• The deep fusion of topological structure and attribute information for anomaly detection in attributed networks

  2021cites this paper
• Botnet Detection Using Graph Based Feature Clustering

  2021cites this paper
• An Exhaustive Review on State-of-the-art Techniques for Anomaly Detection on Attributed Networks

  2021cites this paper
• Many-Objective Optimization for Anomaly Detection on Multi-Layer Complex Interaction Networks

  2021cites this paper
• Bipartite mixed membership stochastic blockmodel

  2021cites this paper
• Context-aware Outstanding Fact Mining from Knowledge Graphs

  2021cites this paper
• A Useful Criterion on Studying Consistent Estimation in Community Detection

  2021cites this paper
• Few-shot Network Anomaly Detection via Cross-network Meta-learning

  2021cites this paper
• A block-based generative model for attributed network embedding

  2021cites this paper
• Fake news outbreak 2021: Can we stop the viral spread?

  2021cites this paper
• Anomaly Detection for Big Data Using Efficient Techniques: A Review

  2020cites this paper
• ResGCN: attention-based deep residual modeling for anomaly detection on attributed networks

  2020influential citation
• Monitoring autoregressive binary social networks based on likelihood statistics

  2020cites this paper
• Anomaly Detection with Deep Graph Autoencoders on Attributed Networks

  2020influential citation
• GNN-based Graph Anomaly Detection with Graph Anomaly Loss

  2020cites this paper
• Error-Bounded Graph Anomaly Loss for GNNs

  2020cites this paper
• An Abnormal Data Analysis and Processing Method for Genealogy Graph Databases

  2020cites this paper
• UNICORN: Runtime Provenance-Based Detector for Advanced Persistent Threats

  2020cites this paper
• Integrating Network Embedding and Community Outlier Detection via Multiclass Graph Description

  2020cites this paper
• On the nature and types of anomalies: a review of deviations in data

  2020cites this paper
• Subgraph anomaly detection in financial transaction networks

  2020cites this paper
• One-class graph neural networks for anomaly detection in attributed networks

  2020cites this paper
• DeepAD: A Joint Embedding Approach for Anomaly Detection on Attributed Networks

  2020influential citation
• Contextual Anomaly Detection in Solder Paste Inspection with Multi-Task Learning

  2020cites this paper
• A Review of Machine Learning Techniques for Anomaly Detection in Static Graphs

  2020cites this paper
• An anomaly detection framework for time-evolving attributed networks

  2020cites this paper
• Anomaly detection in dynamic attributed networks

  2020cites this paper
• Unveiling Anomalous Edges and Nominal Connectivity of Attributed Networks

  2020cites this paper
• Inductive Anomaly Detection on Attributed Networks

  2020cites this paper
• SOME OBSERVATION OF ALGORITHMS DEVELOPED FOR ANOMALY DETECTION

  2020cites this paper
• Ensemble Learning for Detecting Attacks and Anomalies in IoT Smart Home

  2020cites this paper
• A Block-based Generative Model for Attributed Networks Embedding

  2020cites this paper
• Ranking and Discovering Anomalous Neighborhoods in Attributed Multiplex Networks

  2020cites this paper
• LSTM-Based VAE-GAN for Time-Series Anomaly Detection

  2020cites this paper
• A simple graph embedding for anomaly detection in a stream of heterogeneous labeled graphs

  2020cites this paper
• MixedAD: A Scalable Algorithm for Detecting Mixed Anomalies in Attributed Graphs

  2020cites this paper
• Estimating mixed-memberships using the symmetric laplacian inverse matrix

  2020cites this paper
• Multi-scale Anomaly Detection on Attributed Networks

  2019cites this paper
• Understanding Default Behavior in Online Lending

  2019cites this paper