HyperAI超神经

首页资讯论文教程数据集百科 SOTA LLM 模型天梯 GPU 天梯顶会

中文

HyperAI超神经

Node Classification On Cora 05

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
GraphSAGE	37.5%	Inductive Representation Learning on Large Graphs
Snowball (linear + tanh)	67.76%	Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks
CPF-ind_APPNP	77.3%	Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation Framework
GAT	41.4%	Graph Attention Networks
Snowball (tanh)	71.36%	Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks
ChebyNet	33.9%	Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
GCN-FP	50.5%	Convolutional Networks on Graphs for Learning Molecular Fingerprints
MT-GCN	66.9%	Mutual Teaching for Graph Convolutional Networks
Snowball (linear)	69.99%	Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks
GGNN	48.2%	Gated Graph Sequence Neural Networks
DCNN	59.0%	Diffusion-Convolutional Neural Networks
LanczosNet	58.1 ± 8.2	LanczosNet: Multi-Scale Deep Graph Convolutional Networks
AdaLanczosNet	60.8 ± 9.0	LanczosNet: Multi-Scale Deep Graph Convolutional Networks
Truncated Krylov	74.89%	Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks
VCHN	74.9%	View-Consistent Heterogeneous Network on Graphs With Few Labeled Nodes	-

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