HyperAI
HomeNewsLatest PapersTutorialsDatasetsWikiSOTALLM ModelsGPU LeaderboardEvents
Search
About
HyperAI

Node Classification On Citeseer 05

Metrics

Accuracy

Results

Performance results of various models on this benchmark

Model Name
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.