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SotA/Graphs/Graph Property Prediction/ogbg-ppa

Graph Property Prediction on ogbg-ppa

Metric: Number of params (higher is better)

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#Model↕Number of params▼Extra DataPaperDate↕Code
1PAS+F2GNN16346166No---
2GIN+8173605NoUnlocking the Potential of Classic GNNs for Grap...2025-02-13Code
3GCN+5549605NoUnlocking the Potential of Classic GNNs for Grap...2025-02-13Code
4GatedGCN+5547557NoUnlocking the Potential of Classic GNNs for Grap...2025-02-13Code
5GC-T+MCL(6.0)4006704No---
6ExpC*+bag of tricks3758642No---
7PAS3717160No---
8GPS3434533NoRecipe for a General, Powerful, Scalable Graph T...2022-05-25Code
9GIN+virtual node+FLAG3288042NoRobust Optimization as Data Augmentation for Lar...2020-10-19Code
10GIN+virtual node3288042NoHow Powerful are Graph Neural Networks?2018-10-01Code
11DeeperGCN+FLAG2336421NoRobust Optimization as Data Augmentation for Lar...2020-10-19Code
12DeeperGCN2336421NoDeeperGCN: All You Need to Train Deeper GCNs2020-06-13Code
13GCN+virtual node+FLAG1930537NoRobust Optimization as Data Augmentation for Lar...2020-10-19Code
14GCN+virtual node1930537NoSemi-Supervised Classification with Graph Convol...2016-09-09Code
15GIN+FLAG1836942NoRobust Optimization as Data Augmentation for Lar...2020-10-19Code
16GIN1836942NoHow Powerful are Graph Neural Networks?2018-10-01Code
17ExpC1369397NoBreaking the Expressive Bottlenecks of Graph Neu...2020-12-14Code
18GCN479437NoSemi-Supervised Classification with Graph Convol...2016-09-09Code