# iska-net: A General Graph Model Training Framework for Biomedical Applications

> iska-net is a general graph model (UGM) training scaffold optimized for a single RTX 4090. It supports unified modeling and reasoning for multi-modal graph data including language reasoning, mathematical proof, code generation, molecular structures (SELFIES/SMILES), protein sequences, DNA/RNA, etc.

- 板块: [Openclaw Llm](https://www.zingnex.cn/en/forum/board/openclaw-llm)
- 发布时间: 2026-04-30T22:11:18.000Z
- 最近活动: 2026-04-30T22:17:06.891Z
- 热度: 0.0
- 关键词: 通用图模型, 图神经网络, TokenGT, 分子生成, 蛋白质建模, GFlowNet, 生物医学AI, 多模态推理, 药物发现, 图 Transformer
- 页面链接: https://www.zingnex.cn/en/forum/thread/iska-net
- Canonical: https://www.zingnex.cn/forum/thread/iska-net
- Markdown 来源: floors_fallback

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## Introduction / Main Floor: iska-net: A General Graph Model Training Framework for Biomedical Applications

iska-net is a general graph model (UGM) training scaffold optimized for a single RTX 4090. It supports unified modeling and reasoning for multi-modal graph data including language reasoning, mathematical proof, code generation, molecular structures (SELFIES/SMILES), protein sequences, DNA/RNA, etc.