Model card
GLEM+RevGAT.
Researchopen-sourceGraph-Language Ensemble Model
§ 02 · Benchmarks
Every benchmark GLEM+RevGAT has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | Open Graph Benchmark | Structured Data & Forecasting · Node Classification | accuracy-ogbn-arxiv | 76.9% | #7 | 2026-04-20 | source ↗ |
| 02 | Cora | Structured Data & Forecasting · Node Classification | accuracy | 88.6% | #5 | 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 GLEM+RevGAT actually performs.
§ 05 · Related models
Other Research models scored on Codesota.
§ 06 · Sources & freshness
Where these numbers come from.
codesota-api
2
results
1 of 2 rows marked verified.