Semantic Communication Enhanced by Knowledge Graph Representation Learning

• Published in: arXiv.org
• Main Authors: Hello, Nour, Paolo Di Lorenzo, Emilio Calvanese Strinati
• Format: Paper
• Language: English
• Published: Ithaca Cornell University Library, arXiv.org 27.07.2024
• Subjects: Coders; Graph neural networks; Graph representations; Graph theory; Graphical representations; Graphs; Intelligent agents; Knowledge representation; Large language models; Machine learning; Nodes; Semantics; Wireless communications

This paper investigates the advantages of representing and processing semantic knowledge extracted into graphs within the emerging paradigm of semantic communications. The proposed approach leverages semantic and pragmatic aspects, incorporating recent advances on large language models (LLMs) to ach...