Alternatives and similar repositories for Logs2Graph:

Users that are interested in Logs2Graph are comparing it to the libraries listed below

• yul091 / GraphLogAD
  Codebase for the ICKG 2023 paper: "GLAD: Content-aware Dynamic Graphs For Log Anomaly Detection".
  ☆18Updated last year
• HC-Guo / LogFormer
  [AAAI 2024] LogFormer: A Pre-train and Tuning Pipeline for Log Anomaly Detection
  ☆38Updated 9 months ago
• PerfectZyx / LogAnomaly
  Log-based anomaly detection
  ☆11Updated 2 years ago
• LeonYang95 / PLELog
  Implementation of PLELog in ICSE 2021 accepted paper:Semi-supervised Log-based Anomaly Detection via Probabilistic Label Estimation.
  ☆74Updated last year
• hanxiao0607 / LogTAD
  LogTAD: Unsupervised Cross-system Log Anomaly Detection via Domain Adaptation (CIKM 2021)
  ☆27Updated last year
• BEbillionaireUSD / Hades
  ☆13Updated 3 months ago
• IntelligentDDS / SwissLog
  The implementation of SwissLog in ISSRE'20 and TDSC'22
  ☆53Updated last year
• LogIntelligence / NeuralLog
  Log-based Anomaly Detection Without Log Parsing (ASE 2021, Research Track)
  ☆120Updated last year
• ait-aecid / anomaly-detection-log-datasets
  Analysis scripts for log data sets used in anomaly detection.
  ☆55Updated 7 months ago
• mooselab / suppmaterial-LogRepForAnomalyDetection
  Supplementary materials for paper "On the Effectiveness of Log Representation for Log-based Anomaly Detection"
  ☆10Updated last year
• alipay / microservice_system_twin_graph_based_anomaly_detection
  ☆32Updated last year
• logpai / loghub-2.0
  A Large-scale Evaluation for Log Parsing Techniques: How Far are We? [ISSTA'24]
  ☆96Updated 6 months ago
• FudanSELab / DeepTraLog
  ☆32Updated 3 years ago
• LogIntelligence / LogADEmpirical
  Log-based Anomaly Detection with Deep Learning: How Far Are We? (ICSE 2022, Technical Track)
  ☆180Updated 5 months ago
• nailo2c / deeplog
  PyTorch implements "DeepLog: Anomaly Detection and Diagnosis from System Logs through Deep Learning"
  ☆87Updated 7 months ago
• LogIntelligence / LogPPT
  Log Parsing with Prompt-based Few-shot Learning (ICSE 2023, Technical Track)
  ☆57Updated last month
• BoxiYu / LightAD
  A toolkit for Light Log Anomaly Detection [ICSE'24]
  ☆18Updated last week
• PragyaShukla2580 / DeepLog
  Anomaly detection is a critical step towards building a secure and trustworthy system. The primary purpose of a system log is to record s…
  ☆13Updated 3 years ago
• gaiusyu / Brain
  Brain: Log Parsing with Bidirectional Parallel Tree
  ☆31Updated 3 months ago
• gaiusyu / Semlog
  Self-Supervised Log Parsing Using Semantic Contribution Difference
  ☆19Updated last year
• qyjcode / deepsyslog
  ☆13Updated 2 years ago
• BEbillionaireUSD / Eadro
  ☆38Updated 2 years ago
• Mason0629 / RobustLog
  Robust Log-Based Anomaly Detection on Unstable Log Data
  ☆19Updated 5 years ago
• tigerFF / Log2vec
  Log2vec: A Heterogeneous Graph Embedding Based Approach for Detecting Cyber Threats within Enterprise
  ☆25Updated 3 years ago
• AIOps-Lab-NKU / AnoFusion
  ☆13Updated last year
• wzwtrevor / Multi-Scale-One-Class-Recurrent-Neural-Networks
  Code for KDD 2021 paper "Multi-Scale One-Class Recurrent Neural Networks \\for Discrete Event Sequence Anomaly Detection"
  ☆18Updated 3 years ago
• nulog / nulog
  "Self-supervised Log Parsing" submitted for review at ECML-PKDD 2020
  ☆55Updated last year
• IntelligentDDS / Nezha
  The implementation of multimodal observability data root cause analysis approach Nezha in FSE 2023
  ☆40Updated 8 months ago
• dhl123 / Airtag-2023
  ☆24Updated 3 weeks ago