HyperGVL - Isomorphism Recognition: leaderboard

Metric: Accuracy (%) on deciding whether two hypergraphs are isomorphic (yes/no), 7,000 questions per task (200 problems on synthetic and real-world hypergraphs, each posed in 35 textual, visual and combined hypergraph representations), accuracy (%) averaged over the representations, temperature 0.8, top-p 0.95; higher is better. Source: arxiv.org. Saturation forecast: Around July 2027. 12 models tracked.

Top models

#ModelScore
1Gemini 3 Flash64.6
2Qwen 2.5 VL 7B Instruct59.23
3GPT-4o59.14
4Gemma 3 12B51.29
5InternVL3-8B50.54

Interactive version: theaggregate.ai/benchmark?slug=hypergvl-isomorphism-recognition · How It Works · Data refreshed daily, snapshot 2026-10-07.