graph.md

LLMs and Graph

Table of Contents

2023

Title	Venue	Code	Notes
Can Language Models Solve Graph Problems in Natural Language?	Arxiv	-	-
GPT4Graph: Can Large Language Models Understand Graph Structured Data? An Empirical Evaluation and Benchmarking	Arxiv	-	-
GRAPHLLM: BOOSTING GRAPH REASONING ABIL- ITY OF LARGE LANGUAGE MODEL	Arxiv	-	-
GraphGPT: Graph Instruction Tuning for Large Language Models	Arxiv	-	-

Surveys

Title	Venue	Type	Code
Graph Meets LLMs: Towards Large Graph Models	Arxiv	-	-

Note

Can Language Models Solve Graph Problems in Natural Language?

Benchmarking the performance of LLMs on graph problems in natural language.

GraphGPT: Graph Instruction Tuning for Large Language Models

Tuning the LLMs with instruction tuning.

GPT4Graph: Can Large Language Models Understand Graph Structured Data? An Empirical Evaluation and Benchmarking

Benchmarking the performance of LLMs on graph problems in natural language.

GRAPHLLM: BOOSTING GRAPH REASONING ABIL- ITY OF LARGE LANGUAGE MODEL

Soft-prompting with GNNs to boost the graph reasoning ability of LLMs.