Slide 5
Slide 5 text
- Graph Embeddingsといっても、実際には様々な Input/Outputを扱うモデルが存在する
- Input:
- Homogeneous Graph (e.g. undirected and unweighted graph)
- Heterogeneous graph (e.g. Knowledge Graph)
- Output:
- Node, Edge, Whole-Graph
- Methods
- Random walk: DeepWalk, node2vec
- Graph convolutional network
- For Knowledge Graph: TransE, RESCAL, DistMult, ComplEx
Graph Embeddings