Table 3 Accuracy(%) comparison with/without cross attention.
From: GTAT: empowering graph neural networks with cross attention
Methods | Core | Citeseer | Pubmed | Computers | Photo | Physics | CS | WikiCS | Arxiv |
|---|---|---|---|---|---|---|---|---|---|
GAT | 81.06±1.03 | 68.61±1.22 | 78.51±1.63 | 83.21±1.42 | 91.33±0.80 | 93.09±0.77 | 91.34±0.40 | 75.21±0.98 | 70.41 ± 0.14 |
GAT+A | 80.40±1.60 | 67.33±1.92 | 77.57±2.59 | 83.56±0.99 | 90.72±1.77 | 92.59±0.55 | 91.69±0.38 | 75.12±1.51 | 70.93 ± 0.27 |
GAT+B | 80.38±1.31 | 68.13±1.33 | 77.9±1.15 | 84.46±1.12 | 91.00±0.92 | 92.76±0.50 | 91.42±0.55 | 74.34±0.81 | 70.85 ± 0.16 |
GTAT | 81.50±1.27 | 68.91±1.51 | 79.34±0.80 | 83.93±1.09 | 91.70±0.39 | 93.41±0.35 | 91.69±0.21 | 76.01±1.15 | 71.02 ± 0.17 |
GAT2 | 81.16±1.34 | 68.40±1.17 | 78.51±1.76 | 83.62±1.51 | 91.47±0.98 | 92.89±0.74 | 91.32±0.29 | 75.39±1.14 | 70.98 ± 0.27 |
GAT2+A | 80.61±0.97 | 68.05±0.98 | 77.44±1.51 | 82.61±1.09 | 91.49±0.67 | 93.24±0.29 | 91.53±0.69 | 75.14±1.19 | 70.97 ± 0.11 |
GAT2+B | 80.98±1.51 | 68.27±1.27 | 77.53±2.67 | 84.49±1.36 | 91.53±1.68 | 92.65±0.97 | 91.34±0.61 | 73.21±1.46 | 71.06 ± 0.29 |
GTAT2 | 81.65±1.49 | 68.78±1.58 | 79.05±1.33 | 84.37±1.46 | 91.79±0.41 | 93.39±0.53 | 91.75±0.37 | 75.93±1.15 | 71.37 ± 0.14 |
