Anomaly Detection in Edge Streams

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Most implemented papers archive 2025-07-28

5 shown of 5 papers with code (6 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• MIDAS: Microcluster-Based Detector of Anomalies in Edge Streams
  11 Nov 2019 9 repositories listed
  Given a stream of graph edges from a dynamic graph, how can we assign anomaly scores to edges in an online manner, for the purpose of detecting unusual behavior, using constant time and memory?
• Real-Time Anomaly Detection in Edge Streams
  17 Sep 2020 3 repositories listed
  Given a stream of graph edges from a dynamic graph, how can we assign anomaly scores to edges in an online manner, for the purpose of detecting unusual behavior, using constant time and memory?
• SLADE: Detecting Dynamic Anomalies in Edge Streams without Labels via Self-Supervised Learning
  19 Feb 2024 2 repositories listed
  In this paper, we propose SLADE (Self-supervised Learning for Anomaly Detection in Edge Streams) for rapid detection of dynamic anomalies in edge streams, without relying on labels.
• F-FADE: Frequency Factorization for Anomaly Detection in Edge Streams
  9 Nov 2020 1 repository listed
  Edge streams are commonly used to capture interactions in dynamic networks, such as email, social, or computer networks.
• SEDANSPOT: Detecting Anomalies in Edge Streams
  20 Nov 2018 1 repository listed
  Given a stream of edges from a time-evolving (un)weighted (un)directed graph, we consider the problem of detecting anomalous edges in near real-time using sublinear memory.