10.1 Heterogeneous & Knowledge Graph Embedding
Recap: A Single GNN Layer
回顾
一个单层 GNN 层应该包括：
(1) Message
\(\mathbf{m}_{u}^{(l)}=\operatorname{MSG}^{(l)}\left(\mathbf{h}_{u}^{(l-1)}\right), u \in\{N(v) \cup v\}\)
每个节点计算一个消息
(2) Aggregation
\(\mathbf{h}_{v}^{(l)}=\mathrm{AGG}^{(l)}\left(\left\{\mathbf{m}_{u}^{(l)}, u \in N(v)\right\}, \mathbf{m}_{v}^{(l)}\right)\)
从邻居节点聚合消息
标签：10.1,right,mathbf,Knowledge,Graph,Embedding,Heterogeneous From： https://www.cnblogs.com/Summerworm/p/16861007.html