Node Classification On Pubmed 01

Metriken

Accuracy

Ergebnisse

Leistungsergebnisse verschiedener Modelle zu diesem Benchmark

		Paper Title
Truncated Krylov	77.21%	Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks
VCHN	76.8%	View-Consistent Heterogeneous Network on Graphs With Few Labeled Nodes
Snowball (linear + tanh)	75.30%	Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks
Snowball (tanh)	74.40%	Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks
Snowball (linear)	73.83%	Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks
LanczosNet	73.4 ± 5.1	LanczosNet: Multi-Scale Deep Graph Convolutional Networks
DCNN	73.1%	Diffusion-Convolutional Neural Networks
MT-GCN	73.1%	Mutual Teaching for Graph Convolutional Networks
AdaLanczosNet	72.8 ± 4.6	LanczosNet: Multi-Scale Deep Graph Convolutional Networks
GGNN	70.4%	Gated Graph Sequence Neural Networks
GCN-FP	70.3%	Convolutional Networks on Graphs for Learning Molecular Fingerprints
GraphSAGE	65.4%	Inductive Representation Learning on Large Graphs
GAT	59.6%	Graph Attention Networks
ChebyNet	55.2%	Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

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Node Classification On Pubmed 01 | SOTA | HyperAI