4 papers
LLMs+Graphs: Toward Graph-Native, Synergistic AI Systems
Arijit Khan, Longxu Sun, Xin Huang
Large Language Models (LLMs) have advanced rapidly, but their limitations in structured and multi-hop reasoning underscore the need for graph-native, synergistic artificial intelli…
On the Wings of Imagination: Conflicting Script-based Multi-role Framework for Humor Caption Generation
Wenbo Shang, Yuxi Sun, Jing Ma +1
Humor is a commonly used and intricate human language in daily life. Humor generation, especially in multi-modal scenarios, is a challenging task for large language models (LLMs),…
Path-LLM: A Shortest-Path-based LLM Learning for Unified Graph Representation
Wenbo Shang, Xuliang Zhu, Xin Huang
Unified graph representation learning aims to generate node embeddings, which can be applied to multiple downstream applications of graph analytics. However, existing studies based…
A Survey of Large Language Models on Generative Graph Analytics: Query, Learning, and Applications
Wenbo Shang, Xin Huang
A graph is a fundamental data model to represent various entities and their complex relationships in society and nature, such as social networks, transportation networks, and finan…