Table 2

The performance comparison between GraLTR-LDA and the other methods on |${\mathbb{S}}_{\mathrm{independent}}$|⁠.

MethodsAUCAUPRNDCG@10
LDASR0.73420.27160.3970
LDNFSGB0.75200.23040.3640
IPCARF0.79560.34230.4682
SIMCLDA0.75350.17840.3135
NCPLDA0.81980.36800.4724
DMFLDA0.78560.30040.4305
VAGELDA0.72450.31730.4159
GCRFLDA0.76900.32670.4219
GANLDA0.71490.28720.4006
iLncDA-LTR0.78050.31740.4264
GraLTR-LDA0.83520.35970.5216
MethodsAUCAUPRNDCG@10
LDASR0.73420.27160.3970
LDNFSGB0.75200.23040.3640
IPCARF0.79560.34230.4682
SIMCLDA0.75350.17840.3135
NCPLDA0.81980.36800.4724
DMFLDA0.78560.30040.4305
VAGELDA0.72450.31730.4159
GCRFLDA0.76900.32670.4219
GANLDA0.71490.28720.4006
iLncDA-LTR0.78050.31740.4264
GraLTR-LDA0.83520.35970.5216

Note: These comparison methods are reproduced based on [15, 16, 18–21, 24–26, 38].

Table 2

The performance comparison between GraLTR-LDA and the other methods on |${\mathbb{S}}_{\mathrm{independent}}$|⁠.

MethodsAUCAUPRNDCG@10
LDASR0.73420.27160.3970
LDNFSGB0.75200.23040.3640
IPCARF0.79560.34230.4682
SIMCLDA0.75350.17840.3135
NCPLDA0.81980.36800.4724
DMFLDA0.78560.30040.4305
VAGELDA0.72450.31730.4159
GCRFLDA0.76900.32670.4219
GANLDA0.71490.28720.4006
iLncDA-LTR0.78050.31740.4264
GraLTR-LDA0.83520.35970.5216
MethodsAUCAUPRNDCG@10
LDASR0.73420.27160.3970
LDNFSGB0.75200.23040.3640
IPCARF0.79560.34230.4682
SIMCLDA0.75350.17840.3135
NCPLDA0.81980.36800.4724
DMFLDA0.78560.30040.4305
VAGELDA0.72450.31730.4159
GCRFLDA0.76900.32670.4219
GANLDA0.71490.28720.4006
iLncDA-LTR0.78050.31740.4264
GraLTR-LDA0.83520.35970.5216

Note: These comparison methods are reproduced based on [15, 16, 18–21, 24–26, 38].

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