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 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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