Node Classification on CITESEER inductive setting (test)
73.9AccuracyIntraMix
Evaluation Results
| Method | Links | |
|---|---|---|
| IntraMixModel=SAGE, Strategy=IntraMix2024.05 | 73.9 | |
| NodeMixupModel=SAGE, Strategy=NodeMixup2024.05 | 73.1 | |
| LAGSAGEModel=SAGE, Strategy=LAGSAGE2024.05 | 73 | |
| IntraMixModel=GAT, Strategy=IntraMix2024.05 | 72.9 | |
| LAGATModel=GAT, Strategy=LAGAT2024.05 | 72.1 | |
| NodeMixupModel=GAT, Strategy=NodeMixup2024.05 | 71.8 | |
| CoLinkDistMessage aggregation from adjacent nodes in evaluation phase=true2021.06 | 71.74 | |
| LinkDistMessage aggregation from adjacent nodes in evaluation phase=true2021.06 | 71.19 | |
| GATModel=GAT, Strategy=Original2024.05 | 70.4 | |
| CoLinkDistMLPMessage aggregation from adjacent nodes in evaluation phase=false2021.06 | 69.85 | |
| Caps2NETraining Supervision=Unsupervised2019.11 | 69.84 | |
| GraphSAGEModel=SAGE, Strategy=Original2024.05 | 69.1 | |
| EP-BTraining Supervision=Unsupervised2019.11 | 68.61 | |
| LinkDistMLPMessage aggregation from adjacent nodes in evaluation phase=false2021.06 | 67.85 | |
| GCN2MLPMessage aggregation from adjacent nodes in evaluation phase=false2021.06 | 64.19 | |
| GCNTraining Supervision=Supervised2019.11 | 63.4 | |
| GCNMessage aggregation from adjacent nodes in evaluation phase=true2021.06 | 62.98 | |
| PlanetoidTraining Supervision=Supervised2019.11 | 61.97 | |
| GATTraining Supervision=Supervised2019.11 | 59.55 | |
| DeepWalk+BoWTraining Supervision=Unsupervised2019.11 | 59.47 | |
| ADARTrainable Params=100%, Total Params=0.4M, Evaluation Setting=Zero-shot Inductive2026.06 | 59.39 | |
| OFATrainable Params=100%, Total Params=5.1M, Evaluation Setting=Zero-shot Inductive2026.06 | 55.03 | |
| MLPMessage aggregation from adjacent nodes in evaluation phase=false2021.06 | 54.74 | |
| GATTrainable Params=100%, Total Params=0.4M, Evaluation Setting=Zero-shot Inductive2026.06 | 36.52 | |
| GCNTrainable Params=100%, Total Params=0.4M, Evaluation Setting=Zero-shot Inductive2026.06 | 35.74 | |
| GRAPHSAGETrainable Params=100%, Total Params=0.6M, Evaluation Setting=Zero-shot Inductive2026.06 | 33.23 | |
| DGITrainable Params=100%, Total Params=0.4M, Evaluation Setting=Zero-shot Inductive2026.06 | 26.81 | |
| GRACETrainable Params=100%, Total Params=0.4M, Evaluation Setting=Zero-shot Inductive2026.06 | 25.39 | |
| GCNIITrainable Params=100%, Total Params=0.5M, Evaluation Setting=Zero-shot Inductive2026.06 | 23.82 | |
| N2Trainable Params=100%, Total Params=0.4M, Evaluation Setting=Zero-shot Inductive2026.06 | 22.26 | |
| GFTTrainable Params=100%, Total Params=0.4M†, Evaluation Setting=Zero-shot Inductive2026.06 | 18.62 | |
| MDGFMTrainable Params=100%, Total Params=0.4M†, Evaluation Setting=Zero-shot Inductive2026.06 | 17.46 | |
| LLAGATrainable Params=0.02%, Total Params=6.7B, Evaluation Setting=Zero-shot Inductive2026.06 | 15.62 | |
| RIEMANNGFMTrainable Params=100%, Total Params=0.4M, Evaluation Setting=Zero-shot Inductive2026.06 | 11.76 |