G-Retriever: Retrieval-Augmented Generation for Textual Graph
Understanding and Question Answering

G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering

12 February 2024

Nitesh V. Chawla

Bryan Hooi

Papers citing "G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering"

6 / 6 papers shown

Title
GOFA: A Generative One-For-All Model for Joint Graph Language Modeling Lecheng Kong Jiarui Feng Hao Liu Chengsong Huang Jiaxin Huang Yixin Chen Muhan Zhang AI4CE 49 4 0 12 Jul 2024
Large Language Models as Topological Structure Enhancers for Text-Attributed Graphs Shengyin Sun Yuxiang Ren Chen Ma Xuecang Zhang 70 10 0 24 Nov 2023
GraphText: Graph Reasoning in Text Space Jianan Zhao Le Zhuo Yikang Shen Meng Qu Kai Liu Michael M. Bronstein Zhaocheng Zhu Jian Tang 75 37 0 02 Oct 2023
Large Language Models are Zero-Shot Reasoners Takeshi Kojima S. Gu Machel Reid Yutaka Matsuo Yusuke Iwasawa ReLM LRM 282 2,712 0 24 May 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 283 5,177 0 28 Jan 2022
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 267 2,999 0 18 Apr 2021