Graph To Sequence

Graph-to-Sequence is an important sub-task in the field of natural language processing, aiming to map input graph structures to sequence vectors. The goal of this task is to capture the relationships between nodes and edges in the graph, generating vector sequences that can reflect the characteristics of the graph structure, thereby achieving more efficient information processing and understanding in downstream tasks. Its application value is extensive, including knowledge graph representation learning, text summarization from graph data, and serialization of graph-structured data, among others.