Node Classification on USA
85.3AccuracyMC-GRA (+) with MC-GPB (+) protected GCN
Evaluation results
| Method | Links | ||
|---|---|---|---|
| MC-GRA (+) with MC-GPB (+) protected GCNX=true, H_all^A=true, YˆA=true, Y=true2026.06 | 85.3 | 2 | |
| MC-GRA (+) with MC-GPB (+) protected GCNX=true, H_all^A=false, YˆA=true, Y=false2026.06 | 84.4 | 7.6 | |
| MC-GRA (+) with MC-GPB (+) protected GCNX=true, H_all^A=true, YˆA=false, Y=false2026.06 | 84.1 | 4.8 | |
| MC-GRA (+) with MC-GPB (+) protected GCNX=true, H_all^A=true, YˆA=false, Y=true2026.06 | 80.8 | 8 | |
| MC-GRA (+) with MC-GPB (+) protected GCNX=true, H_all^A=false, YˆA=true, Y=true2026.06 | 76.8 | 11.7 | |
| MC-GRA (+) with MC-GPB (+) protected GCNX=true, H_all^A=true, YˆA=true, Y=false2026.06 | 75.4 | 14.1 | |
| MC-GRA (+) with MC-GPB (+) protected GCNX=true, H_all^A=false, YˆA=false, Y=true2026.06 | 73.8 | 10.5 | |
| UGTpre-training=true2023.08 | 66.22 | — | |
| DEMO-Netvariant=hash2019.06 | 65.9 | — | |
| SAT2023.08 | 65.04 | — | |
| UGTpre-training=false2023.08 | 64.71 | — | |
| DEMO-Netvariant=weight2019.06 | 64.7 | — | |
| GT2023.08 | 64.37 | — | |
| GATv22023.08 | 61.84 | — | |
| DeeperGCN2023.08 | 61.17 | — | |
| SAGE2023.08 | 60 | — | |
| GAT2019.06 | 58.5 | — | |
| Union2019.06 | 58.2 | — | |
| Intersection2019.06 | 57.3 | — | |
| WRGAT2023.08 | 56.97 | — | |
| GCN cheby2019.06 | 52.6 | — | |
| MC-GPB (+)Defense Method=MC-GPB (+), Backbone Architecture=GPR-GNN2026.06 | 50.8 | — | |
| GIN2023.08 | 50.75 | — | |
| GCN2023.08 | 50.42 | — | |
| No defense2026.06 | 47 | — | |
| GAT2023.08 | 46.38 | — | |
| ANS-GT2023.08 | 46.2 | — | |
| Graphormer2023.08 | 45.8 | — | |
| Random noise2026.06 | 44 | — | |
| GCN2019.06 | 43.2 | — | |
| GPS2023.08 | 42.52 | — | |
| MC-GPB (+)2026.06 | 39.1 | — | |
| SAN2023.08 | 35.29 | — | |
| GraphSAGE2019.06 | 31.6 | — | |
| GCNII2023.08 | 28.29 | — | |
| Differential privacy2026.06 | 26.3 | — |