Node Classification on Flickr

8개 결과 · ⬇ CSV · JSON

Accuracy

Rank	Model	Accuracy	Paper	Code	Year
1	GCN+GAugM (Zhao et al., 2021)	0.682	Data Augmentation for Graph Neural Networks	zhao-tong/GAug · andyjzhao/wsdm23-gsr	2020
2	DEMO-Net(weight)	0.656 ± 0.000	DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification	jwu4sml/DEMO-Net	2019
3	GraphSAGE (Hamilton et al., [2017a])	0.641	Inductive Representation Learning on Large Graphs	pyg-team/pytorch_geometric · dmlc/dgl · dmlc/dgl · +17	2017
4	EnGCN (Duan et al., 2022)	0.562	A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking	VITA-Group/Large_Scale_GCN_Benchmarking · vita-group/large_scale_gcn_benchmarking	2022
5	Intersection (Li et al., 2018)	0.557	Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning	liqimai/gcn	2018
6	GCN (Kipf and Welling, 2017)	0.546	Semi-Supervised Classification with Graph Convolutional Networks	dmlc/dgl · dmlc/dgl · tkipf/gcn · +52	2016
7	GCN_cheby (Kipf and Welling, 2017)	0.479	Semi-Supervised Classification with Graph Convolutional Networks	dmlc/dgl · dmlc/dgl · tkipf/gcn · +52	2016
8	GAT (Velickovic et al., 2018)	0.359	Graph Attention Networks	labmlai/annotated_deep_learning_paper_implementations · dmlc/dgl · dmlc/dgl · +90	2017