Home Console Docs News Papers Tutorials Datasets Wiki SOTA LLM Models GPU Leaderboard Events

English

Node Classification On Citeseer 05

Metrics

Accuracy

Results

Performance results of various models on this benchmark

		Paper Title	Repository
MT-GCN	67.7%	Mutual Teaching for Graph Convolutional Networks
VCHN	65.6%	View-Consistent Heterogeneous Network on Graphs With Few Labeled Nodes	-
Truncated Krylov	64.64%	Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks
Snowball (tanh)	62.05%	Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks
Snowball (linear + tanh)	61.99%	Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks
Snowball (linear)	59.41%	Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks
AdaLanczosNet	53.8 ± 4.7	LanczosNet: Multi-Scale Deep Graph Convolutional Networks
LanczosNet	53.2 ± 4.0	LanczosNet: Multi-Scale Deep Graph Convolutional Networks
DCNN	53.1%	Diffusion-Convolutional Neural Networks
ChebyNet	45.3%	Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
GGNN	44.3%	Gated Graph Convolutional Recurrent Neural Networks
GCN-FP	43.9%	Convolutional Networks on Graphs for Learning Molecular Fingerprints
GAT	38.2%	Graph Attention Networks
GraphSAGE	33.8%	Inductive Representation Learning on Large Graphs

0 of 14 row(s) selected.

Node Classification On Citeseer 05 | SOTA | HyperAI