Node-level classification on Flickr
67.8AccuracyDEMO-Net
Evaluation results
| Method | Links | |
|---|---|---|
| DEMO-Netvariant=hash2019.06 | 67.8 | |
| DEMO-Netvariant=weight2019.06 | 65.6 | |
| GraphSAGE2019.06 | 64.1 | |
| DropEdge2026.01 | 61.58 | |
| GraphSAGE2026.01 | 60.94 | |
| GCN2026.01 | 59.54 | |
| LDS2026.01 | 58.48 | |
| SPGCL2026.01 | 58.04 | |
| Pro-GNN2026.01 | 57.42 | |
| Union2019.06 | 56.6 | |
| EnGCNCategory=Ours2022.10 | 56.21 | |
| Intersection2019.06 | 55.7 | |
| GCN2019.06 | 54.6 | |
| GraphSAGECategory=Sampling-based2022.10 | 53.63 | |
| AdaGCNCategory=Others2022.10 | 52.97 | |
| ICGu-NN2024.05 | 52.7 | |
| GAMLPCategory=Decoupling-based2022.10 | 52.58 | |
| GraphSAINTCategory=Sampling-based2022.10 | 51.81 | |
| SIGNCategory=Decoupling-based2022.10 | 51.6 | |
| C&SCategory=Decoupling-based2022.10 | 51.24 | |
| GCNNumber of runs=302022.04 | 51.2 | |
| ClusterGCNCategory=Sampling-based2022.10 | 51.2 | |
| GATNumber of runs=302022.04 | 50.9 | |
| SuperGATMxNumber of runs=302022.04 | 50.8 | |
| GraphSAGENumber of runs=302022.04 | 50.7 | |
| FastGCNCategory=Sampling-based2022.10 | 50.51 | |
| LADIESCategory=Sampling-based2022.10 | 50.51 | |
| ICG-NN2024.05 | 50.4 | |
| SGCCategory=Decoupling-based2022.10 | 50.35 | |
| EnGCN w.o. SLECategory=Ours2022.10 | 50.22 | |
| SAGNCategory=Decoupling-based2022.10 | 50.07 | |
| NCGCNlearning_setup=Inductive Learning2023.06 | 48.43 | |
| NCSAGElearning_setup=Inductive Learning2023.06 | 48.33 | |
| H2GCNlearning_setup=Inductive Learning2023.06 | 48.26 | |
| FAGCNlearning_setup=Inductive Learning2023.06 | 48.12 | |
| GPRGNNlearning_setup=Inductive Learning2023.06 | 48.03 | |
| GCN cheby2019.06 | 47.9 | |
| SAGElearning_setup=Inductive Learning2023.06 | 47.87 | |
| GCNlearning_setup=Inductive Learning2023.06 | 47.82 | |
| ACM-GCNlearning_setup=Inductive Learning2023.06 | 47.54 | |
| GATlearning_setup=Inductive Learning2023.06 | 47.28 | |
| SNGNNlearning_setup=Inductive Learning2023.06 | 47.11 | |
| GCOND2024.05 | 47.1 | |
| SFGC2024.05 | 47.1 | |
| CAGNNlearning_setup=Inductive Learning2023.06 | 47.01 | |
| MLPlearning_setup=Inductive Learning2023.06 | 46.91 | |
| GAT2026.01 | 46.83 | |
| GC-SNTK2024.05 | 46.6 | |
| DC-Graph2024.05 | 45.8 | |
| One-Step2024.05 | 45.4 | |
| SuperGATSDNumber of runs=302022.04 | 45.1 | |
| Coarsening2024.05 | 44.6 | |
| Random2024.05 | 44.6 | |
| Herding2024.05 | 44.4 | |
| K-Center2024.05 | 44.1 | |
| Geom-GCN2026.01 | 37.69 | |
| GAT2019.06 | 35.9 | |
| SGC2026.01 | 16.37 |