HyperAIHyperAI
الرئيسيةالأخبارالأوراق البحثيةالدروسمجموعات البياناتالموسوعةSOTAنماذج LLMلوحة الأداء GPUالفعاليات
البحث
حول
HyperAIHyperAI

Node Classification On Pubmed 01

المقاييس

Accuracy

النتائج

نتائج أداء النماذج المختلفة على هذا المعيار القياسي

اسم النموذج
Accuracy
Paper TitleRepository
Truncated Krylov77.21%Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks
DCNN73.1%Diffusion-Convolutional Neural Networks
GAT59.6%Graph Attention Networks
GCN-FP70.3%Convolutional Networks on Graphs for Learning Molecular Fingerprints
GGNN70.4%Gated Graph Sequence Neural Networks
ChebyNet55.2%Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
LanczosNet73.4 ± 5.1LanczosNet: Multi-Scale Deep Graph Convolutional Networks
Snowball (linear + tanh)75.30%Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks
VCHN76.8%View-Consistent Heterogeneous Network on Graphs With Few Labeled Nodes-
GraphSAGE65.4%Inductive Representation Learning on Large Graphs
AdaLanczosNet72.8 ± 4.6LanczosNet: Multi-Scale Deep Graph Convolutional Networks
Snowball (tanh)74.40%Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks
MT-GCN73.1%Mutual Teaching for Graph Convolutional Networks
Snowball (linear)73.83%Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks
0 of 14 row(s) selected.