The two-dimensional taxonomy organized the 29 state-of-the-art MDA prediction models along two perspectives: fusion or non-fusion scheme (first column) and learning type (second column)
| Fusion or non-fusion scheme . | Learning type . | Models . |
|---|---|---|
| Sequential fusion | Matrix decomposition | MDHGI [61] MLPMDA [21] |
| Deep learning | DBNMDA [62] MDA–CNN [53] MDA–GCNFTG [32] | |
| Other machine learning | NSEMDA [16] | |
| Parallel fusion | Matrix decomposition | M2LFL [10] |
| Deep learning | MVMTMDA [15] | |
| Decision tree | EGBMMDA [63] EDTMDA [47] RFMDA [38] ABMDA [64] | |
| Other machine learning | LRSSLMDA [52] BNPMDA [65] ELLPMDA [66] BLHARMDA [39] | |
| Hybrid fusion | Matrix decomposition | MDLPMDA [67] |
| Matrix completion | NIMCGCN [28] | |
| Deep learning | AEMDA [17] NMCMDA [36] MMGCN [9] | |
| Decision tree | LMTRDA [48] | |
| Non-fusion | Matrix decomposition | GRNMF [20] DMPred [42] BRMDA [68] TDRC [30] |
| Matrix completion | NCMCMDA [69] IMCMDA [19] | |
| Deep learning | GAEMDA [37] |
| Fusion or non-fusion scheme . | Learning type . | Models . |
|---|---|---|
| Sequential fusion | Matrix decomposition | MDHGI [61] MLPMDA [21] |
| Deep learning | DBNMDA [62] MDA–CNN [53] MDA–GCNFTG [32] | |
| Other machine learning | NSEMDA [16] | |
| Parallel fusion | Matrix decomposition | M2LFL [10] |
| Deep learning | MVMTMDA [15] | |
| Decision tree | EGBMMDA [63] EDTMDA [47] RFMDA [38] ABMDA [64] | |
| Other machine learning | LRSSLMDA [52] BNPMDA [65] ELLPMDA [66] BLHARMDA [39] | |
| Hybrid fusion | Matrix decomposition | MDLPMDA [67] |
| Matrix completion | NIMCGCN [28] | |
| Deep learning | AEMDA [17] NMCMDA [36] MMGCN [9] | |
| Decision tree | LMTRDA [48] | |
| Non-fusion | Matrix decomposition | GRNMF [20] DMPred [42] BRMDA [68] TDRC [30] |
| Matrix completion | NCMCMDA [69] IMCMDA [19] | |
| Deep learning | GAEMDA [37] |
The two-dimensional taxonomy organized the 29 state-of-the-art MDA prediction models along two perspectives: fusion or non-fusion scheme (first column) and learning type (second column)
| Fusion or non-fusion scheme . | Learning type . | Models . |
|---|---|---|
| Sequential fusion | Matrix decomposition | MDHGI [61] MLPMDA [21] |
| Deep learning | DBNMDA [62] MDA–CNN [53] MDA–GCNFTG [32] | |
| Other machine learning | NSEMDA [16] | |
| Parallel fusion | Matrix decomposition | M2LFL [10] |
| Deep learning | MVMTMDA [15] | |
| Decision tree | EGBMMDA [63] EDTMDA [47] RFMDA [38] ABMDA [64] | |
| Other machine learning | LRSSLMDA [52] BNPMDA [65] ELLPMDA [66] BLHARMDA [39] | |
| Hybrid fusion | Matrix decomposition | MDLPMDA [67] |
| Matrix completion | NIMCGCN [28] | |
| Deep learning | AEMDA [17] NMCMDA [36] MMGCN [9] | |
| Decision tree | LMTRDA [48] | |
| Non-fusion | Matrix decomposition | GRNMF [20] DMPred [42] BRMDA [68] TDRC [30] |
| Matrix completion | NCMCMDA [69] IMCMDA [19] | |
| Deep learning | GAEMDA [37] |
| Fusion or non-fusion scheme . | Learning type . | Models . |
|---|---|---|
| Sequential fusion | Matrix decomposition | MDHGI [61] MLPMDA [21] |
| Deep learning | DBNMDA [62] MDA–CNN [53] MDA–GCNFTG [32] | |
| Other machine learning | NSEMDA [16] | |
| Parallel fusion | Matrix decomposition | M2LFL [10] |
| Deep learning | MVMTMDA [15] | |
| Decision tree | EGBMMDA [63] EDTMDA [47] RFMDA [38] ABMDA [64] | |
| Other machine learning | LRSSLMDA [52] BNPMDA [65] ELLPMDA [66] BLHARMDA [39] | |
| Hybrid fusion | Matrix decomposition | MDLPMDA [67] |
| Matrix completion | NIMCGCN [28] | |
| Deep learning | AEMDA [17] NMCMDA [36] MMGCN [9] | |
| Decision tree | LMTRDA [48] | |
| Non-fusion | Matrix decomposition | GRNMF [20] DMPred [42] BRMDA [68] TDRC [30] |
| Matrix completion | NCMCMDA [69] IMCMDA [19] | |
| Deep learning | GAEMDA [37] |
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