HyperAIHyperAI超神经
首页资讯最新论文教程数据集百科SOTALLM 模型天梯GPU 天梯顶会
全站搜索
关于
HyperAIHyperAI超神经

Node Classification On Citeseer 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 TitleRepository
Snowball (linear + tanh)61.99%Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks-
LanczosNet53.2 ± 4.0LanczosNet: Multi-Scale Deep Graph Convolutional Networks-
GGNN44.3%Gated Graph Convolutional Recurrent Neural Networks-
Snowball (tanh)62.05%Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks-
GraphSAGE33.8%Inductive Representation Learning on Large Graphs-
MT-GCN67.7%Mutual Teaching for Graph Convolutional Networks-
GCN-FP43.9%Convolutional Networks on Graphs for Learning Molecular Fingerprints-
DCNN53.1%Diffusion-Convolutional Neural Networks-
VCHN65.6%View-Consistent Heterogeneous Network on Graphs With Few Labeled Nodes
AdaLanczosNet53.8 ± 4.7LanczosNet: Multi-Scale Deep Graph Convolutional Networks-
ChebyNet45.3%Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering-
Truncated Krylov64.64%Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks-
GAT38.2%Graph Attention Networks-
Snowball (linear)59.41%Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks-
0 of 14 row(s) selected.