Node Classification on USA Air-Traffic

Metric: Accuracy (higher is better)

LeaderboardDataset

Loading chart...

Results

Submit a result

Sort:

#	Model↕	Accuracy▼	Extra Data	Paper	Date↕	Code
1	DEMO-Net(weight)	64.7	No	DEMO-Net: Degree-specific Graph Neural Networks ...	2019-06-05	Code
2	Planetoid*	64.7	No	Revisiting Semi-Supervised Learning with Graph E...	2016-03-29	Code
3	GAT (Velickovic et al., 2018)	58.5	No	Graph Attention Networks	2017-10-30	Code
4	Union (Li et al., 2018)	58.2	No	Deeper Insights into Graph Convolutional Network...	2018-01-22	Code
5	Intersection (Li et al., 2018)	57.3	No	Deeper Insights into Graph Convolutional Network...	2018-01-22	Code
6	GraphSAGE (Hamilton et al., [2017a])	31.6	No	Inductive Representation Learning on Large Graphs	2017-06-07	Code

#1DEMO-Net(weight)
64.7
Accuracy· 2019-06-05
DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification Code
#2Planetoid*SOTA
64.7
Accuracy· 2016-03-29
Revisiting Semi-Supervised Learning with Graph Embeddings Code
#3GAT (Velickovic et al., 2018)
58.5
Accuracy· 2017-10-30
Graph Attention Networks Code
#4Union (Li et al., 2018)
58.2
Accuracy· 2018-01-22
Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning Code
#5Intersection (Li et al., 2018)
57.3
Accuracy· 2018-01-22
Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning Code
#6GraphSAGE (Hamilton et al., [2017a])
31.6
Accuracy· 2017-06-07
Inductive Representation Learning on Large Graphs Code