A collection of AWESOME things about Graph-Related Large Language Models (LLMs).
Large Language Models (LLMs) have shown remarkable progress in natural language processing tasks. However, their integration with graph structures, which are prevalent in real-world applications, remains relatively unexplored. This repository aims to bridge that gap by providing a curated list of research papers that explore the intersection of graph-based techniques with LLMs.
- (NAACL 2021) Knowledge Graph Based Synthetic Corpus Generation for Knowledge-Enhanced Language Model Pre-training [paper][code]
- (arXiv 2023.05) Can Language Models Solve Graph Problems in Natural Language? [paper][code]
- (arXiv 2023.05) GPT4Graph: Can Large Language Models Understand Graph Structured Data? An Empirical Evaluation and Benchmarking [paper][code]
- (AAAI 2022) Enhanced Story Comprehension for Large Language Models through Dynamic Document-Based Knowledge Graphs [paper]
- (SIGIR 2023) Schema-aware Reference as Prompt Improves Data-Efficient Knowledge Graph Construction [paper][code]
- (arXiv 2023.04) CodeKGC: Code Language Model for Generative Knowledge Graph Construction [paper][code]
- (arXiv 2023.04) Graph-ToolFormer: To Empower LLMs with Graph Reasoning Ability via Prompt Augmented by ChatGPT [paper][code]
- (arXiv 2023.05) StructGPT: A General Framework for Large Language Model to Reason over Structured Data [paper][code]
- (arXiv 2023.05) PiVe: Prompting with Iterative Verification Improving Graph-based Generative Capability of LLMs [paper][code]
- (arXiv 2023.05) Explanations as Features: LLM-Based Features for Text-Attributed Graphs [paper][code]
- (arXiv 2023.05) Knowledge Graph Completion Models are Few-shot Learners: An Empirical Study of Relation Labeling in E-commerce with LLMs [paper]
- (arXiv 2023.03) Ask and You Shall Receive (a Graph Drawing): Testing ChatGPT’s Potential to Apply Graph Layout Algorithms [paper]
- GraphGPT: Extrapolating knowledge graphs from unstructured text using GPT-3
- GraphML: Graph markup language. An XML-based file format for graphs.
- GML: Graph modelling language. Read graphs in GML format.
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- (*journal*) paper_name [[pdf]](link)[[code]](link)