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ResearchFormerly WizWand

Graph Alignment on Regular Random Graphs degree 10

100AccuracyFGNN PROJ
-3.89623.07750.0577.023Oct 3, 2025
Updated 5mo ago

Evaluation results

MethodLinks
FGNN PROJpNOISE=02025.101002,500
FGNN FAQpNOISE=02025.101002,500
CHFGNN PROJpNOISE=02025.101002,500
CHFGNN FAQpNOISE=02025.101002,500
FGNN FAQpNOISE=0.052025.10952,059
CHFGNN PROJpNOISE=0.052025.10952,034
CHFGNN FAQpNOISE=0.052025.10952,059
CHFGNN FAQpNOISE=0.12025.10561,383
CHFGNN PROJpNOISE=0.12025.10541,135
FGNN PROJpNOISE=0.052025.1031405
FGNN FAQpNOISE=0.12025.1010912
FGNN PROJpNOISE=0.12025.103113
CHFGNN PROJpNOISE=0.152025.100.9281
CHFGNN FAQpNOISE=0.152025.100.8871
FGNN PROJpNOISE=0.152025.100.5108
FGNN FAQpNOISE=0.152025.100.5837
PROJ(DCX)pNOISE=0.12025.100.350
FAQ(DCX)pNOISE=0.052025.100.3425
FAQ(DCX)pNOISE=0.12025.100.3456
FAQ(DCX)pNOISE=0.22025.100.3496
FGNN PROJpNOISE=0.22025.100.3106
CHFGNN PROJpNOISE=0.22025.100.395
CHFGNN FAQpNOISE=0.22025.100.3836
PROJ(DCX)pNOISE=02025.100.251
PROJ(DCX)pNOISE=0.052025.100.251
PROJ(DCX)pNOISE=0.22025.100.250
FAQ(DCX)pNOISE=02025.100.2385
FAQ(DCX)pNOISE=0.152025.100.2369
FGNN FAQpNOISE=0.22025.100.2838
PROJ(DCX)pNOISE=0.152025.100.149