Link Prediction On Pcqm Contact
评估指标
Hits@1
Hits@10
Hits@3
MRR
评测结果
各个模型在此基准测试上的表现结果
比较表格
| 模型名称 | Hits@1 | Hits@10 | Hits@3 | MRR |
|---|---|---|---|---|
| simple-and-deep-graph-convolutional-networks-1 | 0.1325±0.0009 | 0.8116±0.0009 | 0.3607±0.0003 | 0.3161±0.0004 |
| learning-probabilistic-symmetrization-for-1 | 0.3287 | 0.9526 | 0.6694 | 0.5341 |
| long-range-graph-benchmark | 0.1321±0.0007 | 0.8256±0.0006 | 0.3791±0.0004 | 0.3234±0.0006 |
| where-did-the-gap-go-reassessing-the-long | - | - | - | 0.3498±0.0005 |
| where-did-the-gap-go-reassessing-the-long | - | - | - | 0.3509±0.0006 |
| diffusing-graph-attention | 0.1369±0.0012 | 0.8592±0.0007 | 0.4053±0.0011 | 0.3388±0.0011 |
| recipe-for-a-general-powerful-scalable-graph | - | - | - | 0.3337±0.0006 |
| long-range-graph-benchmark | 0.1355±0.0017 | 0.8478±0.0044 | 0.4004±0.0021 | 0.3350±0.0003 |
| long-range-graph-benchmark | 0.1221±0.0011 | 0.8517±0.0039 | 0.3679±0.0033 | 0.3174±0.0020 |
| long-range-graph-benchmark | 0.1312±0.0016 | 0.8550±0.0024 | 0.4030±0.0008 | 0.3341±0.0006 |
| long-range-graph-benchmark | 0.1288±0.0013 | 0.8517±0.0005 | 0.3808±0.0006 | 0.3242±0.0008 |
| drew-dynamically-rewired-message-passing-with | - | - | - | 0.3444±0.0017 |
| where-did-the-gap-go-reassessing-the-long | - | - | - | 0.3495±0.0010 |
| long-range-graph-benchmark | 0.1279±0.0018 | 0.8433±0.0011 | 0.3783±0.0004 | 0.3218±0.0011 |
| exphormer-sparse-transformers-for-graphs | - | - | - | 0.3637±0.0020 |
| learning-long-range-dependencies-on-graphs | - | - | - | - |
| where-did-the-gap-go-reassessing-the-long | - | - | - | 0.3424±0.0007 |
| long-range-graph-benchmark | 0.1337±0.0013 | 0.8147±0.0062 | 0.3642±0.0043 | 0.3180±0.0027 |