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Node Classification
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PPI
Node Classification on PPI
Metric: F1 (higher is better)
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Model name (A→Z)
#
Model
↕
F1
▼
Extra Data
Paper
Date
↕
Code
1
g2-MLP
99.71
No
-
-
Code
2
GCNII*
99.56
No
Simple and Deep Graph Convolutional Networks
2020-07-04
Code
3
GraphSAINT
99.5
No
GraphSAINT: Graph Sampling Based Inductive Learn...
2019-07-10
Code
4
SGAS
99.46
No
SGAS: Sequential Greedy Architecture Search
2019-11-30
Code
5
DenseMRGCN-14
99.43
No
DeepGCNs: Making GCNs Go as Deep as CNNs
2019-10-15
Code
6
ResMRGCN-28
99.41
No
DeepGCNs: Making GCNs Go as Deep as CNNs
2019-10-15
Code
7
GraphStar
99.4
No
Graph Star Net for Generalized Multi-Task Learning
2019-06-21
Code
8
Cluster-GCN
99.36
No
Cluster-GCN: An Efficient Algorithm for Training...
2019-05-20
Code
9
GaAN
98.7
No
GaAN: Gated Attention Networks for Learning on L...
2018-03-20
Code
10
JK-LSTM
97.6
No
Representation Learning on Graphs with Jumping K...
2018-06-09
Code
11
VQ-GNN (GAT)
97.37
No
VQ-GNN: A Universal Framework to Scale up Graph ...
2021-10-27
Code
12
GAT
97.3
No
Graph Attention Networks
2017-10-30
Code
13
SIGN
96.5
No
SIGN: Scalable Inception Graph Neural Networks
2020-04-23
Code
14
ClusterGCN
92.9
No
Cluster-GCN: An Efficient Algorithm for Training...
2019-05-20
Code
15
LGCN
77.2
No
Large-Scale Learnable Graph Convolutional Networks
2018-08-12
Code
16
GRACE
66.2
No
Deep Graph Contrastive Representation Learning
2020-06-07
Code
17
GraphSAGE
61.2
No
Inductive Representation Learning on Large Graphs
2017-06-07
Code
#1
g2-MLP
99.71
F1
No paper
Code
#2
GCNII*
SOTA
99.56
F1
· 2020-07-04
Simple and Deep Graph Convolutional Networks
Code
#3
GraphSAINT
SOTA
99.5
F1
· 2019-07-10
GraphSAINT: Graph Sampling Based Inductive Learning Method
Code
#4
SGAS
99.46
F1
· 2019-11-30
SGAS: Sequential Greedy Architecture Search
Code
#5
DenseMRGCN-14
99.43
F1
· 2019-10-15
DeepGCNs: Making GCNs Go as Deep as CNNs
Code
#6
ResMRGCN-28
99.41
F1
· 2019-10-15
DeepGCNs: Making GCNs Go as Deep as CNNs
Code
#7
GraphStar
SOTA
99.4
F1
· 2019-06-21
Graph Star Net for Generalized Multi-Task Learning
Code
#8
Cluster-GCN
SOTA
99.36
F1
· 2019-05-20
Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks
Code
#9
GaAN
SOTA
98.7
F1
· 2018-03-20
GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs
Code
#10
JK-LSTM
97.6
F1
· 2018-06-09
Representation Learning on Graphs with Jumping Knowledge Networks
Code
#11
VQ-GNN (GAT)
97.37
F1
· 2021-10-27
VQ-GNN: A Universal Framework to Scale up Graph Neural Networks using Vector Quantization
Code
#12
GAT
SOTA
97.3
F1
· 2017-10-30
Graph Attention Networks
Code
#13
SIGN
96.5
F1
· 2020-04-23
SIGN: Scalable Inception Graph Neural Networks
Code
#14
ClusterGCN
92.9
F1
· 2019-05-20
Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks
Code
#15
LGCN
77.2
F1
· 2018-08-12
Large-Scale Learnable Graph Convolutional Networks
Code
#16
GRACE
66.2
F1
· 2020-06-07
Deep Graph Contrastive Representation Learning
Code
#17
GraphSAGE
SOTA
61.2
F1
· 2017-06-07
Inductive Representation Learning on Large Graphs
Code