ML Research Wiki / Benchmarks / Node Classification / Chameleon(60%/20%/20% random splits)

Chameleon(60%/20%/20% random splits)

Node Classification Benchmark

Performance Over Time

📊 Showing 2 results | 📏 Metric: Accuracy

Click "Edit" next to any result to modify it, or add a new result at the bottom. All changes will be reviewed before going live.

Yellow rows = Pending edits Green rows = Pending new results

Model	Paper	Accuracy	Date	Actions
NCSAGE	Clarify Confused Nodes via Separated Learning		2023-06-04
NCGCN	Clarify Confused Nodes via Separated Learning		2023-06-04

Rank	Model	Paper	Accuracy	Date	Code
1	NCSAGE	Clarify Confused Nodes via Separated Learning	0.00	2023-06-04	📦 GISec-Team/NCGNN
2	NCGCN	Clarify Confused Nodes via Separated Learning	0.00	2023-06-04	📦 GISec-Team/NCGNN

2023

NCSAGE

GISec-Team/NCGNN

2023

NCGCN

GISec-Team/NCGNN