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Malware Detection on BODMAS, PMML, and DikeDataset (test)

0.9623Benign Precision

MoE-Top-2 Experts

Updated 4d ago

Evaluation Results

Method	Links
MoE-Top-2 Experts 2026.02		0.9623	0.8644	0.9107	0.9223	0.9794	0.95	0.9359
MoE-Uniform Aggregation 2026.02		0.9273	0.8644	0.8947	0.9208	0.9588	0.9394	0.9231
MoE-Top-2 Experts w/o LB 2026.02		0.9259	0.8475	0.885	0.9118	0.9588	0.9347	0.9167
MoE-Top-1 Expert 2026.02		0.8689	0.8983	0.8833	0.9368	0.9175	0.9271	0.9103
Consistency framework (GIN) 2026.02		0.8664	0.7797	0.807	0.8713	0.9072	0.8889	0.859
MalGNE framework (GAT) 2026.02		0.8621	0.8475	0.8547	0.9082	0.9175	0.9128	0.891
Consistency framework (GraphSAGE) 2026.02		0.85	0.8644	0.8571	0.9167	0.9072	0.9119	0.891
MoE-Temperature Softmax 2026.02		0.8387	0.8814	0.8595	0.9255	0.8969	0.911	0.891
MalGNE framework (GCN) 2026.02		0.8197	0.8475	0.8333	0.9053	0.8866	0.8958	0.8718
Consistency framework (GAT) 2026.02		0.8197	0.8475	0.8333	0.9053	0.8866	0.8958	0.8718
Consistency framework (GCN) 2026.02		0.8167	0.8305	0.8235	0.8958	0.8866	0.8912	0.8654