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Graph Clustering on AMAP

79.94AccuracyDCRN
14.73231.66148.5965.519Mar 6, 2024Jul 23, 2024Dec 10, 2024Apr 29, 2025Sep 15, 2025Feb 2, 2026Jun 22, 2026

Evaluation results

MethodLinks
DCRN2024.0379.9473.7—
mWDKMethod Category=Optimization-free (OpF) methods2026.0278.571.761.1
PFGC2024.0378.570.81—
MAGIMethod Category=Deep learning and random-walk methods, Inference Type=End-to-end clustering2026.0277.86980.5
SCDGNVenue=MM’232026.0677.5270.2661.21
SCGC2024.0377.4867.67—
CCGC2024.0377.2567.44—
CCGC2024.1177.0767.0657.55
CCGCVenue=AAAI’232026.0677.0767.0657.55
HyReaL2024.117769.0159.85
DFCN2024.0376.8869.21—
EGAE2024.1176.3765.4457.51
EGAEVenue=TNNLS’222026.0676.3765.4457.51
DGCN2024.0376.0766.13—
AGREEVenue=Ours2026.0676.0266.4757.73
AGE2024.0375.98——
WDKMethod Category=Optimization-free (OpF) methods2026.0273.966.457.3
CGC2024.0373.0263.26—
CDCVenue=TNNLS’252026.0672.8564.8453.24
MCGC2024.0371.6461.54—
FGC2024.0371.04——
AGCMethod Category=Optimization-free (OpF) methods2026.0269.363.752.8
MAGIVenue=KDD’242026.0668.9959.9547.88
NDLSMethod Category=Deep learning and random-walk methods, Approach=Optimization-free (OpF)2026.0268.86252.1
VGAE2024.1168.6155.0446.55
GSNNMethod Category=Deep learning and random-walk methods, Approach=Optimization-free (OpF)2026.0267.253.347.1
DAEGCMethod Category=Deep learning and random-walk methods, Inference Type=End-to-end clustering2026.0266.767.450.3
DESEVenue=KDD’252026.0666.4453.9344.78
WLMethod Category=Optimization-free (OpF) methods2026.0266.365.649.7
CONVERT2024.1166.2852.5742.89
CONVERTVenue=MM’232026.0666.2852.5742.89
PANEMethod Category=Deep learning and random-walk methods2026.0262.948.239.8
GAE2024.1160.4758.0133.31
GAEVenue=Classical2026.0660.4758.0133.31
SSGC2024.0360.2360.37—
DFCN2024.1158.5155.9541.76
DFCNVenue=AAAI’212026.0658.5155.9541.76
SDCN2024.0353.4444.85—
NDLSMethod Category=Deep learning and random-walk methods, Approach=GAE2026.0248.227.517.1
DAEGC2024.1147.4538.8325.03
DAEGCVenue=IJCAI’192026.0647.4538.8325.03
GAEMethod Category=Deep learning and random-walk methods2026.0247.425.116.3
MVGRL2024.0345.1936.89—
GSNNMethod Category=Deep learning and random-walk methods, Approach=GAE2026.0244.130.320.3
GLACVenue=TAI’252026.0642.1327.4919.51
K-Means2024.1122.662.370.37
K-MeansVenue=Classical2026.0622.662.370.37
Spectral-C2024.1117.240.530