Graph Embedding

From GM-RKB
Jump to navigation Jump to search

A Graph Embedding is a neural embedding that ...



References

2023

  • chat
    • Q: What is a neural graph embedding?
    • A: A neural graph embedding is a technique that represents nodes and edges in a graph as numerical vectors (embeddings) in a high-dimensional space. These embeddings are learned using neural networks and capture the structure and relationships of the graph. This representation enables various graph analysis tasks, such as node classification and link prediction, to be performed in a computationally efficient manner.