Node Classification on CLUSTER

Metric: Accuracy (higher is better)

LeaderboardDataset

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#	Model↕	Accuracy▼	Extra Data	Paper	Date↕	Code
1	GRIT	80.026	No	Graph Inductive Biases in Transformers without M...	2023-05-27	Code
2	EGT	79.232	No	Global Self-Attention as a Replacement for Graph...	2021-08-07	Code
3	CKGCN	79.003	No	CKGConv: General Graph Convolution with Continuo...	2024-04-21	Code
4	GPTrans-Nano	78.07	No	Graph Propagation Transformer for Graph Represen...	2023-05-19	Code
5	TIGT	78.033	No	Topology-Informed Graph Transformer	2024-02-03	Code
6	GPS	77.95	No	Recipe for a General, Powerful, Scalable Graph T...	2022-05-25	Code
7	EIGENFORMER	77.456	No	Graph Transformers without Positional Encodings	2024-01-31	-
8	ARGNP	77.35	No	Automatic Relation-aware Graph Network Prolifera...	2022-05-31	Code
9	GatedGCN-PE	76.08	No	Benchmarking Graph Neural Networks	2020-03-02	Code

#1GRITSOTA
80.026
Accuracy· 2023-05-27
Graph Inductive Biases in Transformers without Message Passing Code
#2EGTSOTA
79.232
Accuracy· 2021-08-07
Global Self-Attention as a Replacement for Graph Convolution Code
#3CKGCN
79.003
Accuracy· 2024-04-21
CKGConv: General Graph Convolution with Continuous Kernels Code
#4GPTrans-Nano
78.07
Accuracy· 2023-05-19
Graph Propagation Transformer for Graph Representation Learning Code
#5TIGT
78.033
Accuracy· 2024-02-03
Topology-Informed Graph Transformer Code
#6GPS
77.95
Accuracy· 2022-05-25
Recipe for a General, Powerful, Scalable Graph Transformer Code
#7EIGENFORMER
77.456
Accuracy· 2024-01-31
Graph Transformers without Positional Encodings
#8ARGNP
77.35
Accuracy· 2022-05-31
Automatic Relation-aware Graph Network Proliferation Code
#9GatedGCN-PESOTA
76.08
Accuracy· 2020-03-02
Benchmarking Graph Neural Networks Code