Table 1 Temperature prediction results
From: Quantum walk neural networks with feature dependent coins
RMSE ± STD |  |  |  |  |  |
|---|---|---|---|---|---|
Walk Length | 1 | 2 | 3 | 4 | 5 |
GCN | 8.56±0.02 | 8.14±0.41 | 7.82±0.13 | 8.55±0.52 | 8.88±0.73 |
DCNN | 8.07±0.21 | 7.40±0.13 | 7.46±0.06 | 7.44±0.10 | 10.19±0.18 |
GAT | 7.84±0.16 | 8.43±0.42 | 8.47±1.02 | 8.23±0.69 | 7.93±0.15 |
QWNN | 6.11±0.14 | 5.54±0.16 | 5.38±0.07 | 5.28±0.08 | 5.65±0.02 |