Graph Property Prediction on ogbg-ppa

Metric: Number of params (higher is better)

LeaderboardDataset

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#	Model↕	Number of params▼	Extra Data	Paper	Date↕	Code
1	PAS+F2GNN	16346166	No	-	-	-
2	GIN+	8173605	No	Unlocking the Potential of Classic GNNs for Grap...	2025-02-13	Code
3	GCN+	5549605	No	Unlocking the Potential of Classic GNNs for Grap...	2025-02-13	Code
4	GatedGCN+	5547557	No	Unlocking the Potential of Classic GNNs for Grap...	2025-02-13	Code
5	GC-T+MCL(6.0)	4006704	No	-	-	-
6	ExpC*+bag of tricks	3758642	No	-	-	-
7	PAS	3717160	No	-	-	-
8	GPS	3434533	No	Recipe for a General, Powerful, Scalable Graph T...	2022-05-25	Code
9	GIN+virtual node+FLAG	3288042	No	Robust Optimization as Data Augmentation for Lar...	2020-10-19	Code
10	GIN+virtual node	3288042	No	How Powerful are Graph Neural Networks?	2018-10-01	Code
11	DeeperGCN+FLAG	2336421	No	Robust Optimization as Data Augmentation for Lar...	2020-10-19	Code
12	DeeperGCN	2336421	No	DeeperGCN: All You Need to Train Deeper GCNs	2020-06-13	Code
13	GCN+virtual node+FLAG	1930537	No	Robust Optimization as Data Augmentation for Lar...	2020-10-19	Code
14	GCN+virtual node	1930537	No	Semi-Supervised Classification with Graph Convol...	2016-09-09	Code
15	GIN+FLAG	1836942	No	Robust Optimization as Data Augmentation for Lar...	2020-10-19	Code
16	GIN	1836942	No	How Powerful are Graph Neural Networks?	2018-10-01	Code
17	ExpC	1369397	No	Breaking the Expressive Bottlenecks of Graph Neu...	2020-12-14	Code
18	GCN	479437	No	Semi-Supervised Classification with Graph Convol...	2016-09-09	Code

#1PAS+F2GNN
16346166
Number of params
No paper
#2GIN+SOTA
8173605
Number of params· 2025-02-13
Unlocking the Potential of Classic GNNs for Graph-level Tasks: Simple Architectures Meet Excellence Code
#3GCN+
5549605
Number of params· 2025-02-13
Unlocking the Potential of Classic GNNs for Graph-level Tasks: Simple Architectures Meet Excellence Code
#4GatedGCN+
5547557
Number of params· 2025-02-13
Unlocking the Potential of Classic GNNs for Graph-level Tasks: Simple Architectures Meet Excellence Code
#5GC-T+MCL(6.0)
4006704
Number of params
No paper
#6ExpC*+bag of tricks
3758642
Number of params
No paper
#7PAS
3717160
Number of params
No paper
#8GPSSOTA
3434533
Number of params· 2022-05-25
Recipe for a General, Powerful, Scalable Graph Transformer Code
#9GIN+virtual node+FLAG
3288042
Number of params· 2020-10-19
Robust Optimization as Data Augmentation for Large-scale Graphs Code
#10GIN+virtual nodeSOTA
3288042
Number of params· 2018-10-01
How Powerful are Graph Neural Networks?Code
#11DeeperGCN+FLAG
2336421
Number of params· 2020-10-19
Robust Optimization as Data Augmentation for Large-scale Graphs Code
#12DeeperGCN
2336421
Number of params· 2020-06-13
DeeperGCN: All You Need to Train Deeper GCNs Code
#13GCN+virtual node+FLAG
1930537
Number of params· 2020-10-19
Robust Optimization as Data Augmentation for Large-scale Graphs Code
#14GCN+virtual nodeSOTA
1930537
Number of params· 2016-09-09
Semi-Supervised Classification with Graph Convolutional Networks Code
#15GIN+FLAG
1836942
Number of params· 2020-10-19
Robust Optimization as Data Augmentation for Large-scale Graphs Code
#16GIN
1836942
Number of params· 2018-10-01
How Powerful are Graph Neural Networks?Code
#17ExpC
1369397
Number of params· 2020-12-14
Breaking the Expressive Bottlenecks of Graph Neural Networks Code
#18GCN
479437
Number of params· 2016-09-09
Semi-Supervised Classification with Graph Convolutional Networks Code