Graph-to-Text Generation with Bidirectional Dual Cross-Attention and Concatenation

Graph-to-Text Generation with Bidirectional Dual Cross-Attention and Concatenation

Graph-to-text generation (G2T) involves converting structured graph data into natural language text, a task made challenging by the need for encoders to capture the entities and their relationships within the graph effectively. While transformer-based encoders have advanced natural language processi...

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Bibliographic Details
Main Authors: Elias Lemuye Jimale, Wenyu Chen, Mugahed A. Al-antari, Yeong Hyeon Gu, Victor Kwaku Agbesi, Wasif Feroze, Feidu Akmel, Juhar Mohammed Assefa, Ali Shahzad
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Mathematics
Subjects:
data-to-text generation
graph-to-text generation
graph neural network
graph attention
knowledge graph
language models
Online Access:https://www.mdpi.com/2227-7390/13/6/935
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