Graph Classification on ENZYMES

Metric: Accuracy (higher is better)

LeaderboardDataset

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Results

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#	Model↕	Accuracy▼	Extra Data	Paper	Date↕	Code
1	DSGCN-allfeat	78.39	No	Bridging the Gap Between Spectral and Spatial Do...	2020-03-26	Code
2	TFGW SP (L=2)	75.1	No	Template based Graph Neural Network with Optimal...	2022-05-31	Code
3	Norm-GN	73.33	No	A New Perspective on the Effects of Spectrum in ...	2021-12-14	Code
4	GDL-g (SP)	71.47	No	Online Graph Dictionary Learning	2021-02-12	Code
5	HGP-SL	68.79	No	Hierarchical Graph Pooling with Structure Learning	2019-11-14	Code
6	DSGCN-nodelabel	65.13	No	Bridging the Gap Between Spectral and Spatial Do...	2020-03-26	Code
7	WEGL	60.5	No	Wasserstein Embedding for Graph Learning	2020-06-16	Code
8	TREE-G	59.6	No	TREE-G: Decision Trees Contesting Graph Neural N...	2022-07-06	Code
9	GAT-GC (f-Scaled)	58.45	No	Improving Attention Mechanism in Graph Neural Ne...	2019-07-04	Code
10	Evolution of Graph Classifiers	55.67	No	-	-	Code
11	R-GIN + PANDA	53.1	No	PANDA: Expanded Width-Aware Message Passing Beyo...	2024-06-06	Code
12	Fea2Fea-s2	48.5	No	Fea2Fea: Exploring Structural Feature Correlatio...	2021-06-24	Code
13	GIN + PANDA	46.2	No	PANDA: Expanded Width-Aware Message Passing Beyo...	2024-06-06	Code
14	R-GCN + PANDA	43.9	No	PANDA: Expanded Width-Aware Message Passing Beyo...	2024-06-06	Code
15	GCN + PANDA	31.55	No	PANDA: Expanded Width-Aware Message Passing Beyo...	2024-06-06	Code
16	DEMO-Net(weight)	27.2	No	DEMO-Net: Degree-specific Graph Neural Networks ...	2019-06-05	Code

#1DSGCN-allfeatSOTA
78.39
Accuracy· 2020-03-26
Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks Code
#2TFGW SP (L=2)
75.1
Accuracy· 2022-05-31
Template based Graph Neural Network with Optimal Transport Distances Code
#3Norm-GN
73.33
Accuracy· 2021-12-14
A New Perspective on the Effects of Spectrum in Graph Neural Networks Code
#4GDL-g (SP)
71.47
Accuracy· 2021-02-12
Online Graph Dictionary Learning Code
#5HGP-SLSOTA
68.79
Accuracy· 2019-11-14
Hierarchical Graph Pooling with Structure Learning Code
#6DSGCN-nodelabel
65.13
Accuracy· 2020-03-26
Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks Code
#7WEGL
60.5
Accuracy· 2020-06-16
Wasserstein Embedding for Graph Learning Code
#8TREE-G
59.6
Accuracy· 2022-07-06
TREE-G: Decision Trees Contesting Graph Neural Networks Code
#9GAT-GC (f-Scaled)SOTA
58.45
Accuracy· 2019-07-04
Improving Attention Mechanism in Graph Neural Networks via Cardinality Preservation Code
#10Evolution of Graph Classifiers
55.67
Accuracy
No paperCode
#11R-GIN + PANDA
53.1
Accuracy· 2024-06-06
PANDA: Expanded Width-Aware Message Passing Beyond Rewiring Code
#12Fea2Fea-s2
48.5
Accuracy· 2021-06-24
Fea2Fea: Exploring Structural Feature Correlations via Graph Neural Networks Code
#13GIN + PANDA
46.2
Accuracy· 2024-06-06
PANDA: Expanded Width-Aware Message Passing Beyond Rewiring Code
#14R-GCN + PANDA
43.9
Accuracy· 2024-06-06
PANDA: Expanded Width-Aware Message Passing Beyond Rewiring Code
#15GCN + PANDA
31.55
Accuracy· 2024-06-06
PANDA: Expanded Width-Aware Message Passing Beyond Rewiring Code
#16DEMO-Net(weight)SOTA
27.2
Accuracy· 2019-06-05
DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification Code