Table 3.

Anomaly detection effectiveness with balanced sample nodes

Train:Val:Test	1:1:3			2:1:2			3:1:1
Metrics	F1	Recall	Precision	F1	Recall	Precision	F1	Recall	Precision
Metapath2vec	0.795	0.7191	0.8888	0.8037	0.7166	0.9148	0.7384	0.6857	0.8
GCN	0.6067	0.6175	0.6296	0.5737	0.5908	0.5894	0.6036	0.6304	0.6121
HAN	0.7658	0.7762	0.8051	0.7543	0.7695	0.796	0.7896	0.8025	0.8138
MHAMFDhierar	0.8014	0.8131	0.9022	0.8095	0.8658	0.9194	0.8662	0.8346	0.9143
MHAMFDsingle	0.7611	0.7917	0.8908	0.7979	0.8391	0.8948	0.7942	0.8417	0.9021
MHAMFDmulti	0.7981	0.8014	0.8989	0.8048	0.8490	0.8748	0.7816	0.8392	0.8846
MHAMFD	0.8361	0.8764	0.9194	0.8679	0.8813	0.9386	0.8806	0.8692	0.9435