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UnifiedGraph

god_graph::tensor::unified_graph

Struct UnifiedGraph 

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pub struct UnifiedGraph { /* private fields */ }
Expand description

统一图结构：同时支持结构梯度和参数梯度

§核心优势

  1. 统一存储: 结构参数和权重参数存储在同一个图中
  2. 联合优化: 一步同时更新结构和参数
  3. 桶式邻接表: O(1) 边编辑，支持动态剪枝
  4. Generation 索引: 删除边后索引可安全重用

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impl UnifiedGraph

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pub fn new(config: UnifiedConfig) -> Self

创建新的统一图

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pub fn from_graph( base_graph: Graph<NodeData, EdgeData>, config: UnifiedConfig, ) -> Self

从现有 Graph 构建统一图

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pub fn add_node(&mut self, features: DenseTensor) -> GraphResult<NodeIndex>

添加节点

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pub fn add_edge( &mut self, src: NodeIndex, dst: NodeIndex, weight: DenseTensor, init_prob: f64, ) -> GraphResult<usize>

添加边（同时包含权重和结构参数）

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pub fn get_edge_data(&self, edge_idx: usize) -> Result<&EdgeData, GraphError>

获取边数据（通过边索引）

§Arguments
  • edge_idx - 边索引
§Returns

如果边存在，返回边数据引用；否则返回错误

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pub fn get_edge_data_mut( &mut self, edge_idx: usize, ) -> Result<&mut EdgeData, GraphError>

获取边数据（可变引用，使用 IndexMut trait）

§Arguments
  • edge_idx - 边索引
§Returns

如果边存在，返回边数据可变引用；否则返回错误

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pub fn forward(&mut self, input: &DenseTensor) -> GraphResult<DenseTensor>

前向传播

通过图结构计算输出

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pub fn compute_loss( &mut self, target: &DenseTensor, output: &DenseTensor, ) -> DenseTensor

计算损失（简单的 MSE 损失示例）

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pub fn backward(&mut self, _loss: &DenseTensor) -> GraphResult<()>

反向传播（简化版本）

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pub fn compute_structure_gradients( &mut self, _loss: &DenseTensor, ) -> GraphResult<HashMap<(usize, usize), f64>>

计算结构梯度（基于边存在概率的梯度）

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pub fn joint_optimization_step(&mut self, loss: &DenseTensor) -> GraphResult<()>

联合优化一步：同时更新结构和参数

§流程
  1. 反向传播计算参数梯度
  2. 计算结构梯度（基于权重梯度范数）
  3. 更新权重参数
  4. 更新结构参数（logits）
  5. 离散化弱边（利用桶式邻接表的 O(1) 删除）
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pub fn prune_weak_edges(&mut self) -> GraphResult<usize>

剪枝弱边

利用桶式邻接表的 O(1) 删除优势

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pub fn discretize(&mut self) -> GraphResult<()>

离散化整个图

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pub fn graph(&self) -> &Graph<NodeData, EdgeData>

获取图结构（不可变引用）

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pub fn graph_mut(&mut self) -> &mut Graph<NodeData, EdgeData>

获取图结构（可变引用）

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pub fn config(&self) -> &UnifiedConfig

获取配置

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pub fn edge_count(&self) -> usize

获取边数

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pub fn node_count(&self) -> usize

获取节点数

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pub fn num_pruned_edges(&self) -> usize

获取剪枝的边数

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