| graph-regression-on-pcqm4m-lsc | GIN-virtual | #2 | Test MAE: 14.87Validation MAE: 0.1396 |
| graph-regression-on-pcqm4m-lsc | GCN-Virtual | #3 | Test MAE: 15.79Validation MAE: 0.1536 |
| graph-regression-on-pcqm4m-lsc | GIN | #4 | Test MAE: 16.78 |
| graph-regression-on-pcqm4m-lsc | GCN | #5 | Test MAE: 18.38Validation MAE: 0.1684 |
| graph-regression-on-pcqm4m-lsc | MLP-fingerprint | #6 | Test MAE: 20.68Validation MAE: 0.2044 |
| graph-regression-on-pcqm4mv2-lsc | MLP-Fingerprint | #20 | Validation MAE: 0.1753Test MAE: 0.1760 |
| knowledge-graphs-on-wikikg90m-lsc | TransE-Concat | #1 | Test MRR: 85.48Validation MRR: 0.8494 |
| knowledge-graphs-on-wikikg90m-lsc | ComplEx-Concat | #2 | Test MRR: 0.8637Validation MRR: 0.8425 |
| knowledge-graphs-on-wikikg90m-lsc | ComplEx-RoBERTa | #3 | Test MRR: 0.7186Validation MRR: 0.7052 |
| knowledge-graphs-on-wikikg90m-lsc | TransE-RoBERTa | #4 | Test MRR: 0.6288Validation MRR: 0.6039 |
| node-classification-on-mag240m-lsc | R-GraphSAGE (NS) | #1 | Test Accuracy: 68.94 |
| node-classification-on-mag240m-lsc | GAT (NS) | #2 | Test Accuracy: 66.63 |
| node-classification-on-mag240m-lsc | GraphSAGE (NS) | #3 | Test Accuracy: 66.25 |
| node-classification-on-mag240m-lsc | SIGN | #4 | Test Accuracy: 66.09Validation Accuracy: 66.64 |