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HyperAI超神经

Node Classification On Cora 1

评估指标

Accuracy

评测结果

各个模型在此基准测试上的表现结果

模型名称	Accuracy	Paper Title	Repository
GCN-FP	59.6%	Convolutional Networks on Graphs for Learning Molecular Fingerprints	-
GGNN	60.5%	Gated Graph Sequence Neural Networks	-
MT-GCN	73.1%	Mutual Teaching for Graph Convolutional Networks	-
Snowball (tanh)	74.78%	Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks	-
Snowball (linear)	73.10%	Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks	-
Snowball (linear + tanh)	74.79%	Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks	-
AdaLanczosNet	67.5 ± 8.7	LanczosNet: Multi-Scale Deep Graph Convolutional Networks	-
LanczosNet	66.1 ± 8.2	LanczosNet: Multi-Scale Deep Graph Convolutional Networks	-
CPF-ind-APPNP	80.24%	Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation Framework	-
VHCN	78.1%	View-Consistent Heterogeneous Network on Graphs With Few Labeled Nodes
ChebyNet	44.2%	Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering	-
Truncated Krylov	78.15%	Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks	-
GAT	48.6%	Graph Attention Networks	-
GraphSAGE	49.0%	Inductive Representation Learning on Large Graphs	-
DCNN	66.4%	Diffusion-Convolutional Neural Networks	-

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Node Classification On Cora 1 | SOTA | HyperAI超神经