简约风数据处理算法架构插画素材

The architecture is organized vertically from top to bottom. The input is a Rumor Propagation Graph, where each node contains colored blocks representing emotional states and is processed by an Emotion Encoder, producing node-level emotion vectors 𝑥∈𝑅𝑁×256x∈RN×256. These vectors enter an Emotion Sequencer, starting with an input projection (Linear 256→128, LayerNorm, ReLU, Dropout). Propagation paths from root to leaves are constructed and encoded by a BiLSTM with attention, followed by path-to-node aggregation. A vector-gated residual fusion combines original and sequential features, yielding serialized emotions 𝑠𝑒𝑟𝑖𝑎𝑙𝑖𝑧𝑒𝑑_𝑥∈𝑅𝑁×128serialized_x∈RN×128. Neighbor emotional fluctuations are computed and projected to 𝑛𝑒𝑖𝑔ℎ𝑏𝑜𝑟_𝑓𝑙𝑢𝑥∈𝑅𝑁×32neighbor_flux∈RN×32