Graph Property Prediction on ogbg-molhiv

Metric: Number of params (higher is better)

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#	Model↕	Number of params▼	Extra Data	Paper	Date↕	Code
1	Graphormer	47183040	No	Do Transformers Really Perform Bad for Graph Rep...	2021-06-09	Code
2	Graphormer (pre-trained on PCQM4M)	47183040	No	Do Transformers Really Perform Bad for Graph Rep...	2021-06-09	Code
3	Graphormer + FPs	47085378	No	Do Transformers Really Perform Bad for Graph Rep...	2021-06-09	Code
4	PAS+FPs	26706953	No	-	-	-
5	HyperFusion	5908027	No	-	-	-
6	P-WL	4600000	No	-	-	Code
7	DeepAUC	3444509	No	Large-scale Robust Deep AUC Maximization: A New ...	2020-12-06	Code
8	GSN	3338701	No	Improving Graph Neural Network Expressivity via ...	2020-06-16	Code
9	GIN+virtual node+FLAG	3336306	No	Robust Optimization as Data Augmentation for Lar...	2020-10-19	Code
10	GIN+virtual node	3336306	No	How Powerful are Graph Neural Networks?	2018-10-01	Code
11	Neural FingerPrints	2425102	No	-	-	Code
12	GCN+virtual node	1978801	No	Semi-Supervised Classification with Graph Convol...	2016-09-09	Code
13	GIN+FLAG	1885206	No	Robust Optimization as Data Augmentation for Lar...	2020-10-19	Code
14	GIN	1885206	No	How Powerful are Graph Neural Networks?	2018-10-01	Code
15	FingerPrint+GMAN	1444110	No	-	-	-
16	GatedGCN+	1076633	No	Unlocking the Potential of Classic GNNs for Grap...	2025-02-13	Code
17	HIG	1019408	No	-	-	-
18	GPS	558625	No	Recipe for a General, Powerful, Scalable Graph T...	2022-05-25	Code
19	DeeperGCN+FLAG	531976	No	Robust Optimization as Data Augmentation for Lar...	2020-10-19	Code
20	DeeperGCN	531976	No	DeeperGCN: All You Need to Train Deeper GCNs	2020-06-13	Code
21	GCN+FLAG	527701	No	Robust Optimization as Data Augmentation for Lar...	2020-10-19	Code
22	GCN	527701	No	Semi-Supervised Classification with Graph Convol...	2016-09-09	Code
23	GCN (in Julia)	527701	No	Semi-Supervised Classification with Graph Convol...	2016-09-09	Code
24	GCN+GraphNorm	526201	No	GraphNorm: A Principled Approach to Accelerating...	2020-09-07	Code
25	WEGL	361064	No	Wasserstein Embedding for Graph Learning	2020-06-16	Code
26	PNA	326081	No	Principal Neighbourhood Aggregation for Graph Nets	2020-04-12	Code
27	EGC-M (No Edge Features)	317265	No	Do We Need Anisotropic Graph Neural Networks?	2021-04-03	Code
28	EGC-S (No Edge Features)	317013	No	Do We Need Anisotropic Graph Neural Networks?	2021-04-03	Code
29	GSAT	249602	No	Interpretable and Generalizable Graph Learning v...	2022-01-31	Code
30	CIN	239745	No	Weisfeiler and Lehman Go Cellular: CW Networks	2021-06-23	Code
31	MorganFP+Rand. Forest	230000	No	-	-	-
32	HIMP	153029	No	Hierarchical Inter-Message Passing for Learning ...	2020-06-22	Code
33	CIN-small	138337	No	Weisfeiler and Lehman Go Cellular: CW Networks	2021-06-23	Code
34	directional GSN	114211	No	Improving Graph Neural Network Expressivity via ...	2020-06-16	Code
35	DGN	114065	No	Directional Graph Networks	2020-10-06	Code
36	PHC-GNN	110909	No	Parameterized Hypercomplex Graph Neural Networks...	2021-03-30	Code
37	GIN	32385	No	-	-	-
38	Molecular FP + Random Forest	5782	No	-	-	-

#1GraphormerSOTA
47183040
Number of params· 2021-06-09
Do Transformers Really Perform Bad for Graph Representation?Code
#2Graphormer (pre-trained on PCQM4M)
47183040
Number of params· 2021-06-09
Do Transformers Really Perform Bad for Graph Representation?Code
#3Graphormer + FPs
47085378
Number of params· 2021-06-09
Do Transformers Really Perform Bad for Graph Representation?Code
#4PAS+FPs
26706953
Number of params
No paper
#5HyperFusion
5908027
Number of params
No paper
#6P-WL
4600000
Number of params
No paperCode
#7DeepAUCSOTA
3444509
Number of params· 2020-12-06
Large-scale Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image Classification Code
#8GSNSOTA
3338701
Number of params· 2020-06-16
Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting Code
#9GIN+virtual node+FLAG
3336306
Number of params· 2020-10-19
Robust Optimization as Data Augmentation for Large-scale Graphs Code
#10GIN+virtual nodeSOTA
3336306
Number of params· 2018-10-01
How Powerful are Graph Neural Networks?Code
#11Neural FingerPrints
2425102
Number of params
No paperCode
#12GCN+virtual nodeSOTA
1978801
Number of params· 2016-09-09
Semi-Supervised Classification with Graph Convolutional Networks Code
#13GIN+FLAG
1885206
Number of params· 2020-10-19
Robust Optimization as Data Augmentation for Large-scale Graphs Code
#14GIN
1885206
Number of params· 2018-10-01
How Powerful are Graph Neural Networks?Code
#15FingerPrint+GMAN
1444110
Number of params
No paper
#16GatedGCN+
1076633
Number of params· 2025-02-13
Unlocking the Potential of Classic GNNs for Graph-level Tasks: Simple Architectures Meet Excellence Code
#17HIG
1019408
Number of params
No paper
#18GPS
558625
Number of params· 2022-05-25
Recipe for a General, Powerful, Scalable Graph Transformer Code
#19DeeperGCN+FLAG
531976
Number of params· 2020-10-19
Robust Optimization as Data Augmentation for Large-scale Graphs Code
#20DeeperGCN
531976
Number of params· 2020-06-13
DeeperGCN: All You Need to Train Deeper GCNs Code
#21GCN+FLAG
527701
Number of params· 2020-10-19
Robust Optimization as Data Augmentation for Large-scale Graphs Code
#22GCN
527701
Number of params· 2016-09-09
Semi-Supervised Classification with Graph Convolutional Networks Code
#23GCN (in Julia)
527701
Number of params· 2016-09-09
Semi-Supervised Classification with Graph Convolutional Networks Code
#24GCN+GraphNorm
526201
Number of params· 2020-09-07
GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training Code
#25WEGL
361064
Number of params· 2020-06-16
Wasserstein Embedding for Graph Learning Code
#26PNA
326081
Number of params· 2020-04-12
Principal Neighbourhood Aggregation for Graph Nets Code
#27EGC-M (No Edge Features)
317265
Number of params· 2021-04-03
Do We Need Anisotropic Graph Neural Networks?Code
#28EGC-S (No Edge Features)
317013
Number of params· 2021-04-03
Do We Need Anisotropic Graph Neural Networks?Code
#29GSAT
249602
Number of params· 2022-01-31
Interpretable and Generalizable Graph Learning via Stochastic Attention Mechanism Code
#30CIN
239745
Number of params· 2021-06-23
Weisfeiler and Lehman Go Cellular: CW Networks Code
#31MorganFP+Rand. Forest
230000
Number of params
No paper
#32HIMP
153029
Number of params· 2020-06-22
Hierarchical Inter-Message Passing for Learning on Molecular Graphs Code
#33CIN-small
138337
Number of params· 2021-06-23
Weisfeiler and Lehman Go Cellular: CW Networks Code
#34directional GSN
114211
Number of params· 2020-06-16
Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting Code
#35DGN
114065
Number of params· 2020-10-06
Directional Graph Networks Code
#36PHC-GNN
110909
Number of params· 2021-03-30
Parameterized Hypercomplex Graph Neural Networks for Graph Classification Code
#37GIN
32385
Number of params
No paper
#38Molecular FP + Random Forest
5782
Number of params
No paper