Model card
GraphSAGE.
Stanfordopen-sourceGraph SAmple and aggreGatE
Inductive graph representation learning via neighborhood sampling
§ 02 · Benchmarks
Every benchmark GraphSAGE has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | Open Graph Benchmark | Structured Data & Forecasting · Node Classification | accuracy-ogbn-products | 83.9% | #5 | 2026-04-20 | source ↗ |
| 02 | Open Graph Benchmark | Structured Data & Forecasting · Node Classification | accuracy-ogbn-arxiv | 73.0% | #10 | 2026-04-20 | source ↗ |
| 03 | Cora | Structured Data & Forecasting · Node Classification | accuracy | 82.7% | #18 | 2026-04-20 | source ↗ |
Rank column shows this model’s position vs all other models scored on the same benchmark + metric (competitors after the slash). #1 in red means current SOTA. Sorted by rank, then newest result.
§ 03 · Strengths by area
Where GraphSAGE actually performs.
§ 05 · Related models
Other Stanford models scored on Codesota.
§ 06 · Sources & freshness
Where these numbers come from.
codesota-api
3
results
3 of 3 rows marked verified.