Hypergraph Matching on Large-Scale Random Synthetic Dataset
100AccuracyADGM
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| ADGMn1=30, n2=30, sigma=0.02, t=900, r1=9002024.02 | 100 | — | |
| CURSORn1=30, n2=30, sigma=0.02, t=900, c=15, k=5, r=52024.02 | 100 | — | |
| ADGMn1=30, n2=50, sigma=0.02, t=1500, r1=25002024.02 | 100 | — | |
| CURSORn1=30, n2=50, sigma=0.02, t=1500, c=15, k=5, r=52024.02 | 100 | — | |
| ADGMn1=50, n2=50, sigma=0.02, t=2500, r1=25002024.02 | 100 | — | |
| CURSORn1=50, n2=50, sigma=0.02, t=2500, c=20, k=7, r=72024.02 | 100 | — | |
| ADGMn1=100, n2=100, sigma=0.02, t=10000, r1=100002024.02 | 100 | — | |
| CURSORn1=100, n2=100, sigma=0.02, t=10000, c=100, k=15, r=202024.02 | 100 | — | |
| CURSORn1=300, n2=300, sigma=0.01, t=30000, c=200, k=20, r=202024.02 | 100 | — | |
| CURSORn1=1000, n2=1000, sigma=0.005, t=100000, c=500, k=50, r=802024.02 | 99.2 | — | |
| CURSORn1=50, n2=100, sigma=0.02, t=5000, c=100, k=10, r=102024.02 | 98.2 | — | |
| ADGMn1=50, n2=100, sigma=0.02, t=5000, r1=100002024.02 | 97.4 | — | |
| CURSORn1=800, n2=800, sigma=0.005, t=80000, c=400, k=30, r=502024.02 | 97.3 | — | |
| CURSORn1=500, n2=500, sigma=0.01, t=50000, c=300, k=25, r=302024.02 | 96.9 | — |