GABench - Graph ML - Node Classification (Text-Attributed Graphs): leaderboard
Metric: Task success rate (%; share of tasks whose final answer a DeepSeek-V4-Flash judge marks consistent with the verified ground truth; node classification graph machine learning (node classification, link prediction, graph classification) with its 10 learning tools, which validate the configuration and return a fixed model accuracy rather than train on text-attributed graphs (Reddit, Instagram, History, Product, Arxiv and Cora, 200 generated tasks per dataset and category); LLM agent in the OpenClaw harness, one run). Source: arxiv.org. Saturation forecast: Around 2032. 6 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Qwen 3 235B A22B | 22.23 |
| 2 | GLM-5-Turbo | 19.36 |
| 3 | Gemini 3 Flash | 18.71 |
| 4 | GLM-4.5 Flash | 15.68 |
| 5 | GPT-5 Mini | 15.43 |
| 6 | DeepSeek V4 Pro | 14.54 |
Interactive version: theaggregate.ai/benchmark?slug=gabench-graph-ml-node-classification-text-attributed-graphs · How It Works · Data refreshed daily, snapshot 2026-09-29.