Combining knowledge graphs and large language models
A Kau, X He, A Nambissan, A Astudillo, H Yin… - arXiv preprint arXiv …, 2024 - arxiv.org
In recent years, Natural Language Processing (NLP) has played a significant role in various
Artificial Intelligence (AI) applications such as chatbots, text generation, and language …
Artificial Intelligence (AI) applications such as chatbots, text generation, and language …
DIVE: subgraph disagreement for graph out-of-distribution generalization
This paper addresses the challenge of out-of-distribution (OOD) generalization in graph
machine learning, a field rapidly advancing yet grappling with the discrepancy between …
machine learning, a field rapidly advancing yet grappling with the discrepancy between …
Large Language Models-guided Dynamic Adaptation for Temporal Knowledge Graph Reasoning
Temporal Knowledge Graph Reasoning (TKGR) is the process of utilizing temporal
information to capture complex relations within a Temporal Knowledge Graph (TKG) to infer …
information to capture complex relations within a Temporal Knowledge Graph (TKG) to infer …
Beyond chain-of-thought: A survey of chain-of-x paradigms for llms
Chain-of-Thought (CoT) has been a widely adopted prompting method, eliciting impressive
reasoning abilities of Large Language Models (LLMs). Inspired by the sequential thought …
reasoning abilities of Large Language Models (LLMs). Inspired by the sequential thought …