ML Research Wiki / Benchmarks / Node Classification / Brazil Air-Traffic

Brazil Air-Traffic

Node Classification Benchmark

Performance Over Time

📊 Showing 7 results | 📏 Metric: Accuracy

Top Performing Models

Rank	Model	Paper	Accuracy	Date	Code
1	GCN_cheby (Kipf and Welling, 2017)	Semi-Supervised Classification with Graph Convolutional Networks	0.52	2016-09-09	📦 dmlc/dgl 📦 dmlc/dgl 📦 tkipf/gcn
2	Union (Li et al., 2018)	Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning	0.47	2018-01-22	📦 liqimai/gcn
3	Intersection (Li et al., 2018)	Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning	0.46	2018-01-22	📦 liqimai/gcn
4	GraphSAGE (Hamilton et al., [2017a])	Inductive Representation Learning on Large Graphs	0.40	2017-06-07	📦 pyg-team/pytorch_geometric 📦 dmlc/dgl 📦 dmlc/dgl
5	GAT (Velickovic et al., 2018)	Graph Attention Networks	0.38	2017-10-30	📦 labmlai/annotated_deep_learning_paper_implementations 📦 dmlc/dgl 📦 dmlc/dgl
6	UGT	Transitivity-Preserving Graph Representation Learning for Bridging Local Connectivity and Role-based Similarity	0.00	2023-08-18	📦 nslab-cuk/unified-graph-transformer 📦 nslab-cuk/community-aware-graph-transformer 📦 nslab-cuk/literalkg
7	DEMO-Net(weight)	DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification	0.00	2019-06-05	📦 jwu4sml/DEMO-Net

All Papers (7)

Semi-Supervised Classification with Graph Convolutional Networks

2016

GCN_cheby (Kipf and Welling, 2017)

dmlc/dgl dmlc/dgl

Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning

2018

Union (Li et al., 2018)

liqimai/gcn

Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning

2018

Intersection (Li et al., 2018)

liqimai/gcn

Inductive Representation Learning on Large Graphs

2017

GraphSAGE (Hamilton et al., [2017a])

pyg-team/pytorch_geometric dmlc/dgl

Graph Attention Networks

2017

GAT (Velickovic et al., 2018)

labmlai/annotated_deep_learning_paper_implementations dmlc/dgl

Transitivity-Preserving Graph Representation Learning for Bridging Local Connectivity and Role-based Similarity

2023

UGT

nslab-cuk/unified-graph-transformer nslab-cuk/community-aware-graph-transformer nslab-cuk/literalkg

DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification

2019

DEMO-Net(weight)

jwu4sml/DEMO-Net

Brazil Air-Traffic

Performance Over Time

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Top Performing Models

All Papers (7)

Semi-Supervised Classification with Graph Convolutional Networks

Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning

Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning

Inductive Representation Learning on Large Graphs

Graph Attention Networks

Transitivity-Preserving Graph Representation Learning for Bridging Local Connectivity and Role-based Similarity

DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification

Model	Paper	Accuracy	Date
GCN_cheby (Kipf and Welling, 2017)	Semi-Supervised Classification with Graph Convolu…	0.52	2016-09-09
Union (Li et al., 2018)	Deeper Insights into Graph Convolutional Networks…	0.47	2018-01-22
Intersection (Li et al., 2018)	Deeper Insights into Graph Convolutional Networks…	0.46	2018-01-22
GraphSAGE (Hamilton et al., [2017a])	Inductive Representation Learning on Large Graphs	0.40	2017-06-07
GAT (Velickovic et al., 2018)	Graph Attention Networks	0.38	2017-10-30
UGT	Transitivity-Preserving Graph Representation Lear…		2023-08-18
DEMO-Net(weight)	DEMO-Net: Degree-specific Graph Neural Networks f…		2019-06-05