petergriffinjin/awesome-language-model-on-graphs

A curated list of papers and resources based on "Large Language Models on Graphs: A Comprehensive Survey".

awesome-language-model-on-graphs's Issues

Knowledge Graph Prompting for Multi-Document Question Answering

Dear Esteemed Authors,

I hope this message finds you well. I recently had the opportunity to read your thorough and timely survey on the integration of Large Language Models (LLMs) with Graphs and learned a lot.

In parallel, my colleagues and I have conducted research in a closely related area. Our recent paper explores the enhancement of prompt content through knowledge graph traversal, which aligns closely with the themes of your survey. Given the relevance and potential contribution to the ongoing discourse in your work, I kindly inquire if there is an opportunity to include our research in your survey. Thank you for your consideration!

1. [Knowledge Graph Prompting for Multi-Document Question Answering]. [AAAI 2024]

   [Yu Wang, Nedim Lipka, Ryan Rossi, Alex Siu, Ruiyi Zhang, Tyler Derr]. [PDF][Code], 2023.8,

QAGNN should belong to the 'LLM as Encoder' category?

Sorry, I might get it wrong, but should QAGNN belong to the 'LLM as Encoder' category?

A Potential Related Work

Dear Authors,

Thanks for this wonderful survey and repo! We would like to introduce our related work on using the graph structure of general tasks to enhance complex reasoning with LLMs "Junchi Yu, Ran He, Rex, Ying. Thought Propagation: An Analogical Approach to Complex Reasoning with Large Language Models". Apart from general reasoning tasks, our method also performs well on the Shortest-path Reasoning problem on graphs.

We hope our work could further enrich your awesome repo and survey ☺️ !

Best,
Junchi Yu

Information Update for "Integrating Graphs with Large Language Models: Methods and Prospects"

Hi Peter,

Thank you very much for including our work in your repo!
Could you please help us update the information of the paper "Integrating Graphs with Large Language Models: Methods and Prospects"? The paper is now accepted by IEEE Intelligent Systems and will be published soon.

Warmest Regards,
Yizhen Zheng