{
  "nodes": [
    {
      "id": "1",
      "label": "人工智能",
      "type": "概念",
      "properties": {
        "importance": 1,
        "description": "计算机科学的一个分支，致力于创建能够执行通常需要人类智能的任务的机器",
        "aliases": ["机器智能", "AI"]
      },
      "style": {
        "fill": "#FF6B6B",
        "stroke": "#EE5A5A",
        "lineWidth": 3
      }
    },
    {
      "id": "2",
      "label": "机器学习",
      "type": "概念",
      "properties": {
        "importance": 0.9,
        "description": "人工智能的一个子领域，让计算机系统能够从数据中学习和改进"
      },
      "style": {
        "fill": "#4ECDC4",
        "stroke": "#45B7B0",
        "lineWidth": 2
      }
    },
    {
      "id": "3",
      "label": "深度学习",
      "type": "概念",
      "properties": {
        "importance": 0.8,
        "description": "基于人工神经网络的机器学习方法"
      },
      "style": {
        "fill": "#45B7D1",
        "stroke": "#3DA4BA",
        "lineWidth": 2
      }
    },
    {
      "id": "4",
      "label": "神经网络",
      "type": "概念",
      "properties": {
        "importance": 0.7,
        "description": "受人脑启发的计算模型"
      }
    },
    {
      "id": "5",
      "label": "TensorFlow",
      "type": "工具",
      "properties": {
        "importance": 0.6,
        "language": "Python, C++",
        "author": "Google"
      },
      "style": {
        "fill": "#FFA07A",
        "stroke": "#FF7F50"
      }
    },
    {
      "id": "6",
      "label": "PyTorch",
      "type": "工具",
      "properties": {
        "importance": 0.6,
        "language": "Python",
        "author": "Meta"
      },
      "style": {
        "fill": "#FFA07A",
        "stroke": "#FF7F50"
      }
    },
    {
      "id": "7",
      "label": "自然语言处理",
      "type": "应用",
      "properties": {
        "importance": 0.7,
        "description": "处理和理解人类语言的技术"
      }
    },
    {
      "id": "8",
      "label": "计算机视觉",
      "type": "应用",
      "properties": {
        "importance": 0.7,
        "description": "让计算机理解和解析视觉信息"
      }
    },
    {
      "id": "9",
      "label": "强化学习",
      "type": "概念",
      "properties": {
        "importance": 0.6,
        "description": "通过与环境交互来学习最优策略"
      }
    },
    {
      "id": "10",
      "label": "监督学习",
      "type": "概念",
      "properties": {
        "importance": 0.5,
        "description": "使用标记数据进行学习"
      }
    },
    {
      "id": "11",
      "label": "GPT",
      "type": "应用",
      "properties": {
        "importance": 0.8,
        "author": "OpenAI",
        "description": "Generative Pre-trained Transformer"
      }
    },
    {
      "id": "12",
      "label": "CNN",
      "type": "概念",
      "properties": {
        "importance": 0.6,
        "description": "卷积神经网络，用于处理网格状数据"
      }
    },
    {
      "id": "13",
      "label": "RNN",
      "type": "概念",
      "properties": {
        "importance": 0.6,
        "description": "循环神经网络，用于处理序列数据"
      }
    },
    {
      "id": "14",
      "label": "数据挖掘",
      "type": "应用",
      "properties": {
        "importance": 0.5,
        "description": "从大量数据中发现模式和知识"
      }
    }
  ],
  "edges": [
    {
      "id": "e1",
      "source": "1",
      "target": "2",
      "label": "包含",
      "type": "关系",
      "style": {
        "stroke": "#95A5A6",
        "lineWidth": 2
      }
    },
    {
      "id": "e2",
      "source": "2",
      "target": "3",
      "label": "子领域",
      "type": "关系",
      "style": {
        "stroke": "#95A5A6",
        "lineWidth": 2
      }
    },
    {
      "id": "e3",
      "source": "3",
      "target": "4",
      "label": "基于",
      "type": "技术依赖",
      "style": {
        "stroke": "#3498DB",
        "lineWidth": 2
      }
    },
    {
      "id": "e4",
      "source": "3",
      "target": "5",
      "label": "框架",
      "type": "工具关系",
      "style": {
        "stroke": "#E74C3C",
        "lineWidth": 1
      }
    },
    {
      "id": "e5",
      "source": "3",
      "target": "6",
      "label": "框架",
      "type": "工具关系",
      "style": {
        "stroke": "#E74C3C",
        "lineWidth": 1
      }
    },
    {
      "id": "e6",
      "source": "1",
      "target": "7",
      "label": "应用",
      "type": "应用领域",
      "style": {
        "stroke": "#2ECC71",
        "lineWidth": 2
      }
    },
    {
      "id": "e7",
      "source": "1",
      "target": "8",
      "label": "应用",
      "type": "应用领域",
      "style": {
        "stroke": "#2ECC71",
        "lineWidth": 2
      }
    },
    {
      "id": "e8",
      "source": "2",
      "target": "9",
      "label": "包含",
      "type": "关系"
    },
    {
      "id": "e9",
      "source": "2",
      "target": "10",
      "label": "包含",
      "type": "关系"
    },
    {
      "id": "e10",
      "source": "7",
      "target": "11",
      "label": "技术实现",
      "type": "技术依赖"
    },
    {
      "id": "e11",
      "source": "3",
      "target": "12",
      "label": "主要架构",
      "type": "技术依赖"
    },
    {
      "id": "e12",
      "source": "3",
      "target": "13",
      "label": "主要架构",
      "type": "技术依赖"
    },
    {
      "id": "e13",
      "source": "8",
      "target": "12",
      "label": "核心技术",
      "type": "技术依赖"
    },
    {
      "id": "e14",
      "source": "7",
      "target": "13",
      "label": "核心技术",
      "type": "技术依赖"
    },
    {
      "id": "e15",
      "source": "2",
      "target": "14",
      "label": "相关技术",
      "type": "相关"
    },
    {
      "id": "e16",
      "source": "5",
      "target": "12",
      "label": "支持",
      "type": "技术支持"
    },
    {
      "id": "e17",
      "source": "6",
      "target": "13",
      "label": "支持",
      "type": "技术支持"
    }
  ]
}