Normalized training loss vs. baselines (Facebook).

Normalized training loss vs. baselines (Facebook).

<p>DCOR reports both reconstruction-only and total (with RLC); baselines report reconstruction-only. Each curve is normalized as in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0335135#pone.0335135.e243" target="_blank">Eq (29)</a> by di...

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1. autor: Hossein Rafieizadeh (22676722) (author)
Kolejni autorzy: Hadi Zare (20073000) (author), Mohsen Ghassemi Parsa (22676725) (author), Hocine Cherifi (8177628) (author)
Wydane: 2025
Hasła przedmiotowe:
Cell Biology
Science Policy
Environmental Sciences not elsewhere classified
Biological Sciences not elsewhere classified
Information Systems not elsewhere classified
intrusions across social
reconstructions across views
level contrastive learning
dual contrastive learning
across six benchmarks
div >< p
view discrepancies underutilized
augmented graph views
dcor improves auroc
view discrepancies
level contrast
dual autoencoder
augmented view
specific information
six datasets
reduces auroc
publicly available
preserves fine
physical domains
performing non
maximum gain
leaving cross
identifying threats
financial fraud
existing graph
dcor reconstructs
dcor ),
contrasts reconstructions
attributed networks
attribute patterns
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