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Question Answering on Graph-Bench Medical

73.2Average AccuracyAtomicRAG
15.89630.77345.6560.527Feb 10, 2026

Evaluation results

MethodLinks
AtomicRAG2026.0273.2————2.242.634.870.791.970.67
AtomicRAG2026.0273.172.674.876.868.3——————
HippoRAG22026.0264.9————1.544.295.834.53.960.34
HippoRAG22026.0264.866.361.963.168.1——————
Fast-GraphRAG2026.0264.160.961.767.965.9——————
LightRAG2026.0263.963.361.363.167.9——————
LightRAG2026.0263.9————2.6661.5164.1713.9960.740.77
RAGreranking=with2026.0262.464.758.665.860.6——————
Vanilla RAG2026.0262.4————02.872.870.012.680.19
GFM-RAG2026.0261.463.567.351.563.3——————
GFM-RAG2026.0261.4————1.522.083.66.081.720.36
RAGreranking=without2026.026163.757.663.758.9——————
HippoRAG2026.025956.155.859.864.4——————
StructRAG2026.0258.655.456.262.560.2——————
RAPTOR2026.0257.15453.258.762.4——————
Lazy-GraphRAG2026.0256.960.347.857.362.2——————
KGP2026.0255.552.351.554.563.8——————
KET-RAG2026.0247.160.439.645.343——————
KET-RAG2026.0247.1————2.3124.4526.762.7324.420.03
MS-GraphRAGscope=local2026.0245.138.64741.853.1——————
MS-GraphRAGscope=global2026.0218.116.415.619.820.8——————