Node Classification on CiteSeer with Public Split: fixed 20 nodes per class

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Accuracy

Rank	Model	Accuracy	Paper	Code	Year
1	OGC	77.5	From Cluster Assumption to Graph Convolution: Graph-based Semi-Supervised Learning Revisited	zhengwang100/ogc_ggcm	2023
2	GRAND	75.4 ± 0.4	Graph Random Neural Network for Semi-Supervised Learning on Graphs	dmlc/dgl · Grand20/grand · zjunet/dropmessage · +6	2020
3	LDS-GNN	75.0%	Learning Discrete Structures for Graph Neural Networks	lucfra/LDS · lucfra/LDS-GNN	2019
4	Graph-MLP + PGN	74.73 ± 0.6%	The Split Matters: Flat Minima Methods for Improving the Performance of GNNs	foisunt/fmms-in-gnns	2023
5	CPF-tra-APPNP	74.6%	Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation Framework	BUPT-GAMMA/CPF	2021
6	GraphMix(GCN)	74.52 ± 0.59	GraphMix: Improved Training of GNNs for Semi-Supervised Learning	vikasverma1077/GraphMix	2019
7	G3NN	74.5%	A Flexible Generative Framework for Graph-based Semi-supervised Learning	jiaqima/G3NN	2019
8	SSP	74.28 ± 0.67%	Optimization of Graph Neural Networks with Natural Gradient Descent	russellizadi/ssp	2020
9	GEM	74.2	Graph Entropy Minimization for Semi-supervised Node Classification	cf020031308/gem	2023
9	GGCM	74.2	From Cluster Assumption to Graph Convolution: Graph-based Semi-Supervised Learning Revisited	zhengwang100/ogc_ggcm	2023
11	Truncated Krylov	73.86%	Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks	PwnerHarry/Stronger_GCN	2019
12	SSGC	73.6	Simple Spectral Graph Convolution	allenhaozhu/SSGC · hazdzz/SSGC	2021
13	OKDEEM	73.53	Graph Entropy Minimization for Semi-supervised Node Classification	cf020031308/gem	2023
14	GCNII	73.4%	Simple and Deep Graph Convolutional Networks	chennnM/GCNII · chennnM/GCNII · zhanglab-aim/cancer-net · +1	2020
15	SEGCN	73.4 ± 0.7	Every Node Counts: Self-Ensembling Graph Convolutional Networks for Semi-Supervised Learning	RoyalVane/SEGCN	2018
16	Snowball (tanh)	73.32%	Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks	PwnerHarry/Stronger_GCN	2019
17	DSGCN	73.3	Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks	balcilar/Spectral-Designed-Graph-Convolutions · sidneyarcidiacono/UnderstandingGCNs	2020
18	DAGNN (Ours)	73.3 ± 0.6	Towards Deeper Graph Neural Networks	dmlc/dgl · mengliu1998/DeeperGNN · divelab/DeeperGNN	2020
19	GCN+GAugO	73.3 ± 1.1	Data Augmentation for Graph Neural Networks	zhao-tong/GAug · andyjzhao/wsdm23-gsr	2020
20	GCN	73.14± 0.67	Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification	LUOyk1999/tunedGNN	2024