bupt-gamma/igraph/graph-ml-inference

Claude Code and agent skill by bupt-gamma/igraph

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GraphML 推理参数构建、model_id 验证与结果解释流程。

Install

npx vskill@latest install bupt-gamma/igraph/graph-ml-inference

SKILL.md

GraphML 推理

必要检查

  • 依据 infer 工具 schema 准备参数。
  • 验证 model_id 与任务的兼容性。
  • 尽可能从 schema 展开完整的 infer 参数：即使用户未要求修改，也应显式列出所有适用字段及其默认值。

query 精确格式

  • 节点分类：{"nodes":["0","1","2"]}，或使用 split。
  • 链路预测指定边：{"edges":[["0","8"],["0","1"],["1","344"]]}。每条边必须是长度为 2 的字符串数组；不要使用 {"source":"0","target":"8"} 对象。
  • 链路预测按源节点：{"source_node":"0","candidate_nodes":["8","1"],"topk":10}。
  • 图分类：{"graph_indices":[0,1,2]}，索引必须是整数。
  • MCP 运行时可能把整个 query 编码为 JSON 字符串；这是允许的，但字符串解码后的内部结构仍必须符合上述格式。

操作步骤

  1. 确认图状态和推理目标。
  2. 根据用户请求和上面的精确格式构建完整的 infer 参数集，包含所有适用的默认参数。
  3. 调用 infer。推理是只读操作，验证参数后直接执行，不重复请求用户确认；必须保留用户指定的 query，不得在表示形式报错后改为空查询重试。
  4. 解释推理结果及其边界。

Security

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Source

Popularity

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