Link Property Prediction On Ogbl Ppa
評価指標
Ext. data
Number of params
Test Hits@100
Validation Hits@100
評価結果
このベンチマークにおける各モデルのパフォーマンス結果
比較表
| モデル名 | Ext. data | Number of params | Test Hits@100 | Validation Hits@100 |
|---|---|---|---|---|
| node2vec-scalable-feature-learning-for | No | 73878913 | 0.2226 ± 0.0083 | 0.2253 ± 0.0088 |
| graphgpt-graph-learning-with-generative-pre | No | 145263360 | 0.6876 ± 0.0067 | 0.7017 ± 0.0044 |
| network-in-graph-neural-network | No | 410113 | 0.3683 ± 0.0099 | 0.3834 ± 0.0082 |
| neural-common-neighbor-with-completion-for | No | 33538 | 0.6119 ± 0.0085 | 0.6021 ± 0.0037 |
| inductive-representation-learning-on-large | No | 424449 | 0.1655 ± 0.0240 | 0.1724 ± 0.0264 |
| revisiting-graph-neural-networks-for-link-1 | No | 709122 | 0.4880 ± 0.0316 | 0.5125 ± 0.0252 |
| モデル 7 | No | 0 | 0.2765 ± 0.0000 | 0.2823 ± 0.0000 |
| adaptive-graph-diffusion-networks-with-hop | No | 36904259 | 0.4123 ± 0.0159 | 0.4332 ± 0.0092 |
| can-gnns-learn-link-heuristics-a-concise | No | 148144898 | 0.6354 ± 0.0121 | 0.6524 ± 0.0096 |
| 09010553 | No | 0 | 0.4933 ± 0.0000 | 0.4722 ± 0.0000 |
| network-in-graph-neural-network | No | 735426 | 0.5971 ± 0.0245 | 0.5995 ± 0.0205 |
| simplifying-subgraph-representation-learning | No | 32270001 | 0.4242 ± 0.0180 | 0.6512 ± 0.0109 |
| モデル 13 | No | 1993965 | 0.6322 ± 0.0174 | 0.6533 ± 0.0234 |
| pure-message-passing-can-estimate-common | No | 147794531 | 0.6524 ± 0.0150 | 0.6685 ± 0.0073 |
| semi-supervised-classification-with-graph | No | 278529 | 0.1867 ± 0.0132 | 0.1845 ± 0.0140 |
| モデル 16 | No | 163330 | 0.5062 ± 0.0035 | 0.4906 ± 0.0029 |
| surel-moving-from-walks-to-sets-for-scalable | No | 52802 | 0.5432 ± 0.0044 | 0.5492 ± 0.0112 |
| edge-proposal-sets-for-link-prediction | No | 0 | 0.5324 ± 0.0000 | 0.5142 ± 0.0000 |
| network-in-graph-neural-network | No | 556033 | 0.4005 ± 0.0138 | 0.4058 ± 0.0123 |
| open-graph-benchmark-datasets-for-machine | No | 147662849 | 0.3229 ± 0.0094 | 0.3228 ± 0.0428 |
| モデル 21 | No | 52802 | 0.5432 ± 0.0044 | 0.5492 ± 0.0112 |
| edge2node-reducing-edge-prediction-to-node | No | 526851 | 0.8911 ± 0.1266 | 0.8857 ± 0.1331 |
| モデル 23 | No | 644 | 0.4934 ± 0.0098 | 0.4931 ± 0.0025 |
| reconsidering-the-performance-of-gae-in-link | No | 295848449 | 0.7334 ± 0.0092 | 0.7391 ± 0.0178 |
| モデル 25 | No | 0 | 0.3245 ± 0.0000 | 0.3268 ± 0.0000 |
| deepwalk-online-learning-of-social | No | 150138741 | 0.2302 ± 0.0163 | Please tell us |