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official implement of "MCLASt: Multi-hierarchy contrastive learning graph anomaly detection with structure-awareness"

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introduce

official implementation of "MCLASt: Multi-hierarchy contrastive learning graph anomaly detection with structure-awareness"

Precedure

  1. create folder "pkl" and "result"
  2. run topolofy_dist.py
  3. run main.py

Example

take Cora dataset as an example
python main.py --dataset cora

dependency

  1. python==3.9.18
  2. pytorch==2.2.2
  3. scipy==1.12.0
  4. sklearn==1.3.0
  5. tqdm==4.66.2
  6. dgl==2.1.0+cu121
  7. networkx==2.5.1
  8. numpy==1.26.4
  9. pyg==2.5.2
  10. pandas==1.4.1

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official implement of "MCLASt: Multi-hierarchy contrastive learning graph anomaly detection with structure-awareness"

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