Table 3

Comparison of model performance with a 1:1 positive-to-negative sample ratio; results are obtained from five-fold cross-validation; AUC and AUPR scores, along with their standard deviations, are reported; the best scores are highlighted in bold

ModelsTEINet DatasetpMTnet DatasetVDJdb DatasetMcPAS Dataset
AUCAUPRAUCAUPRAUCAUPRAUCAUPR
TEINet0.608 |$\pm $| 0.0080.615 |$\pm $| 0.0080.619 |$\pm $| 0.0050.612 |$\pm $| 0.0060.588 |$\pm $| 0.0050.597 |$\pm $| 0.0040.687 |$\pm $| 0.0210.697 |$\pm $| 0.021
TEIM0.606 |$\pm $| 0.0040.617 |$\pm $| 0.0040.618 |$\pm $| 0.0040.617 |$\pm $| 0.0020.590 |$\pm $| 0.0030.602 |$\pm $| 0.0050.641 |$\pm $| 0.0240.659 |$\pm $| 0.026
pMTnet0.578 |$\pm $| 0.0040.577 |$\pm $| 0.0050.579 |$\pm $| 0.0270.583 |$\pm $| 0.0300.571 |$\pm $| 0.0030.574 |$\pm $| 0.0030.562 |$\pm $| 0.0070.562 |$\pm $| 0.008
GTE(Ours)0.734|$\pm $| 0.0030.781|$\pm $| 0.0030.813|$\pm $| 0.0020.839|$\pm $| 0.0030.775|$\pm $| 0.0040.811|$\pm $| 0.0040.743|$\pm $| 0.0120.788|$\pm $| 0.017
ModelsTEINet DatasetpMTnet DatasetVDJdb DatasetMcPAS Dataset
AUCAUPRAUCAUPRAUCAUPRAUCAUPR
TEINet0.608 |$\pm $| 0.0080.615 |$\pm $| 0.0080.619 |$\pm $| 0.0050.612 |$\pm $| 0.0060.588 |$\pm $| 0.0050.597 |$\pm $| 0.0040.687 |$\pm $| 0.0210.697 |$\pm $| 0.021
TEIM0.606 |$\pm $| 0.0040.617 |$\pm $| 0.0040.618 |$\pm $| 0.0040.617 |$\pm $| 0.0020.590 |$\pm $| 0.0030.602 |$\pm $| 0.0050.641 |$\pm $| 0.0240.659 |$\pm $| 0.026
pMTnet0.578 |$\pm $| 0.0040.577 |$\pm $| 0.0050.579 |$\pm $| 0.0270.583 |$\pm $| 0.0300.571 |$\pm $| 0.0030.574 |$\pm $| 0.0030.562 |$\pm $| 0.0070.562 |$\pm $| 0.008
GTE(Ours)0.734|$\pm $| 0.0030.781|$\pm $| 0.0030.813|$\pm $| 0.0020.839|$\pm $| 0.0030.775|$\pm $| 0.0040.811|$\pm $| 0.0040.743|$\pm $| 0.0120.788|$\pm $| 0.017
Table 3

Comparison of model performance with a 1:1 positive-to-negative sample ratio; results are obtained from five-fold cross-validation; AUC and AUPR scores, along with their standard deviations, are reported; the best scores are highlighted in bold

ModelsTEINet DatasetpMTnet DatasetVDJdb DatasetMcPAS Dataset
AUCAUPRAUCAUPRAUCAUPRAUCAUPR
TEINet0.608 |$\pm $| 0.0080.615 |$\pm $| 0.0080.619 |$\pm $| 0.0050.612 |$\pm $| 0.0060.588 |$\pm $| 0.0050.597 |$\pm $| 0.0040.687 |$\pm $| 0.0210.697 |$\pm $| 0.021
TEIM0.606 |$\pm $| 0.0040.617 |$\pm $| 0.0040.618 |$\pm $| 0.0040.617 |$\pm $| 0.0020.590 |$\pm $| 0.0030.602 |$\pm $| 0.0050.641 |$\pm $| 0.0240.659 |$\pm $| 0.026
pMTnet0.578 |$\pm $| 0.0040.577 |$\pm $| 0.0050.579 |$\pm $| 0.0270.583 |$\pm $| 0.0300.571 |$\pm $| 0.0030.574 |$\pm $| 0.0030.562 |$\pm $| 0.0070.562 |$\pm $| 0.008
GTE(Ours)0.734|$\pm $| 0.0030.781|$\pm $| 0.0030.813|$\pm $| 0.0020.839|$\pm $| 0.0030.775|$\pm $| 0.0040.811|$\pm $| 0.0040.743|$\pm $| 0.0120.788|$\pm $| 0.017
ModelsTEINet DatasetpMTnet DatasetVDJdb DatasetMcPAS Dataset
AUCAUPRAUCAUPRAUCAUPRAUCAUPR
TEINet0.608 |$\pm $| 0.0080.615 |$\pm $| 0.0080.619 |$\pm $| 0.0050.612 |$\pm $| 0.0060.588 |$\pm $| 0.0050.597 |$\pm $| 0.0040.687 |$\pm $| 0.0210.697 |$\pm $| 0.021
TEIM0.606 |$\pm $| 0.0040.617 |$\pm $| 0.0040.618 |$\pm $| 0.0040.617 |$\pm $| 0.0020.590 |$\pm $| 0.0030.602 |$\pm $| 0.0050.641 |$\pm $| 0.0240.659 |$\pm $| 0.026
pMTnet0.578 |$\pm $| 0.0040.577 |$\pm $| 0.0050.579 |$\pm $| 0.0270.583 |$\pm $| 0.0300.571 |$\pm $| 0.0030.574 |$\pm $| 0.0030.562 |$\pm $| 0.0070.562 |$\pm $| 0.008
GTE(Ours)0.734|$\pm $| 0.0030.781|$\pm $| 0.0030.813|$\pm $| 0.0020.839|$\pm $| 0.0030.775|$\pm $| 0.0040.811|$\pm $| 0.0040.743|$\pm $| 0.0120.788|$\pm $| 0.017
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