Advances, Systems and Applications
Table 4 Performance comparisons of different methods
Dataset | Douban-Book | MovieLens-1M | Yelp2018 | |||
|---|---|---|---|---|---|---|
Method | recall | ndcg | recall | ndcg | recall | ndcg |
NGCF | 0.1380(-0.86%) | 0.1165(-1.93%) | 0.0812(-0.31%) | 0.1587(-0.99%) | 0.0612(-4.07%) | 0.0502(-3.46%) |
LightGCN | 0.1392 | 0.1188 | 0.0838 | 0.1603 | 0.0638 | 0.0520 |
SGL-ND | 0.1626(+16.81%) | 0.1450(+22.05%) | 0.0856(+2.15%) | 0.1667(+3.99%) | 0.0643(+0.78%) | 0.0526(+1.15%) |
SGL-ED | 0.1732(+24.43%) | 0.1549(+30.39%) | 0.0864(+3.10%) | 0.1656(+3.31%) | 0.0675(+5.79%) | 0.0555(+6.73%) |
SGL-RW | 0.1731(+24.35%) | 0.1545(+30.05%) | 0.0852(+1.67%) | 0.1645(+2.62%) | 0.0667(+4.54%) | 0.0547(+5.19%) |
SelfCF-HE | 0.1742(+25.14%) | 0.1569(+32.07%) | 0.0889(+6.09%) | 0.1684(+5.05%) | 0.0661(+3.61%) | 0.0542(+4.23%) |
SelfCF-ED | 0.1401(+0.65%) | 0.1223(+2.95%) | 0.0833(-0.60%) | 0.1610(+0.44%) | 0.0639(+0.16%) | 0.0521(+0.19%) |
SelfCF-EP | 0.1365(-1.94%) | 0.1152(-3.03%) | 0.0729(-13.01%) | 0.1492(-6.92%) | 0.0640(+0.31%) | 0.0531(+2.12%) |
AFGRL | 0.1654(+18.82%) | 0.1254(+20.29%) | 0.0869(+3.70%) | 0.1632(+1.81%) | 0.0702(+10.03%) | 0.0553(+6.35 %) |
SimGCL | 0.1770(+27.16%) | 0.1582(+33.16%) | 0.0887(+5.85%) | 0.1695(+5.74%) | 0.0721(+13.01%) | 0.0596(+14.62%) |
SimSGR | 0.1904(+36.78%) | 0.1624(+36.70%) | 0.0905(+8.00%) | 0.1701(+6.11%) | 0.0742(+16.30%) | 0.0602(+15.77%) |