Node Classification on Cora (0.5%)

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Accuracy

Rank	Model	Accuracy	Paper	Code	Year
1	CPF-ind_APPNP	77.3%	Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation Framework	BUPT-GAMMA/CPF	2021
2	VCHN	74.9%	View-Consistent Heterogeneous Network on Graphs With Few Labeled Nodes	kunzhan/VCHN	2022
3	Truncated Krylov	74.89%	Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks	PwnerHarry/Stronger_GCN	2019
4	Snowball (tanh)	71.36%	Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks	PwnerHarry/Stronger_GCN	2019
5	Snowball (linear)	69.99%	Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks	PwnerHarry/Stronger_GCN	2019
6	Snowball (linear + tanh)	67.76%	Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks	PwnerHarry/Stronger_GCN	2019
7	MT-GCN	66.9%	Mutual Teaching for Graph Convolutional Networks	kunzhan/MTGCN	2020
8	AdaLanczosNet	60.8 ± 9.0	LanczosNet: Multi-Scale Deep Graph Convolutional Networks	lrjconan/LanczosNetwork	2019
9	DCNN	59.0%	Diffusion-Convolutional Neural Networks	jcatw/dcnn · RicardoZiTseng/dcnn-tensorflow · MindSpore-paper-code-3/code6	2015
10	LanczosNet	58.1 ± 8.2	LanczosNet: Multi-Scale Deep Graph Convolutional Networks	lrjconan/LanczosNetwork	2019
11	GCN-FP	50.5%	Convolutional Networks on Graphs for Learning Molecular Fingerprints	HIPS/neural-fingerprint · debbiemarkslab/neural-fingerprint-theano · nrel/m2p · +5	2015
12	GGNN	48.2%	Gated Graph Sequence Neural Networks	dmlc/dgl · Microsoft/gated-graph-neural-network-samples · chingyaoc/ggnn.pytorch · +10	2015
13	GAT	41.4%	Graph Attention Networks	labmlai/annotated_deep_learning_paper_implementations · dmlc/dgl · dmlc/dgl · +90	2017
14	GraphSAGE	37.5%	Inductive Representation Learning on Large Graphs	pyg-team/pytorch_geometric · dmlc/dgl · dmlc/dgl · +17	2017
15	ChebyNet	33.9%	Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering	mdeff/cnn_graph · hazdzz/ChebyNet · selmiss/gp-tlstgcn · +2	2016