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Integrating Graphs with Large Language Models: Methods and Prospects

Integrating Graphs with Large Language Models: Methods and Prospects

9 October 2023
Shirui Pan
Yizhen Zheng
Yixin Liu
    AIFin
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Papers citing "Integrating Graphs with Large Language Models: Methods and Prospects"

18 / 18 papers shown
Title
Efficient Document Retrieval with G-Retriever
Efficient Document Retrieval with G-Retriever
Manthankumar Solanki
RALM
47
0
0
21 Apr 2025
Simplifying Data Integration: SLM-Driven Systems for Unified Semantic Queries Across Heterogeneous Databases
Simplifying Data Integration: SLM-Driven Systems for Unified Semantic Queries Across Heterogeneous Databases
Teng Lin
25
0
0
08 Apr 2025
Collaborative Expert LLMs Guided Multi-Objective Molecular Optimization
Jiajun Yu
Y. Zheng
Huan Yee Koh
Shirui Pan
Tianyue Wang
Haishuai Wang
69
0
0
05 Mar 2025
Domain-Specific Retrieval-Augmented Generation Using Vector Stores,
  Knowledge Graphs, and Tensor Factorization
Domain-Specific Retrieval-Augmented Generation Using Vector Stores, Knowledge Graphs, and Tensor Factorization
Ryan Barron
Ves Grantcharov
Selma Wanna
Maksim E. Eren
Manish Bhattarai
...
George Tompkins
Charles K. Nicholas
Kim Ø. Rasmussen
Cynthia Matuszek
Boian S. Alexandrov
RALM
42
6
0
03 Oct 2024
Noise-Resilient Unsupervised Graph Representation Learning via Multi-Hop
  Feature Quality Estimation
Noise-Resilient Unsupervised Graph Representation Learning via Multi-Hop Feature Quality Estimation
Shiyuan Li
Yixin Liu
Qingfeng Chen
Geoffrey I. Webb
Shirui Pan
SSL
39
4
0
29 Jul 2024
Self-Supervision Improves Diffusion Models for Tabular Data Imputation
Self-Supervision Improves Diffusion Models for Tabular Data Imputation
Yixin Liu
Thalaiyasingam Ajanthan
Hisham Husain
Vu-Linh Nguyen
51
9
0
25 Jul 2024
Solving Zebra Puzzles Using Constraint-Guided Multi-Agent Systems
Solving Zebra Puzzles Using Constraint-Guided Multi-Agent Systems
Shmuel Berman
Kathleen McKeown
Baishakhi Ray
LLMAG
46
1
0
04 Jul 2024
KG-RAG: Bridging the Gap Between Knowledge and Creativity
KG-RAG: Bridging the Gap Between Knowledge and Creativity
Diego Sanmartin
RALM
47
36
0
20 May 2024
Foundation Models for Education: Promises and Prospects
Foundation Models for Education: Promises and Prospects
Tianlong Xu
Richard Tong
Jing Liang
Xing Fan
Haoyang Li
Qingsong Wen
AI4CE
46
8
0
08 Apr 2024
Microstructures and Accuracy of Graph Recall by Large Language Models
Microstructures and Accuracy of Graph Recall by Large Language Models
Yanbang Wang
Hejie Cui
Jon M. Kleinberg
42
2
0
19 Feb 2024
G-Retriever: Retrieval-Augmented Generation for Textual Graph
  Understanding and Question Answering
G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering
Xiaoxin He
Yijun Tian
Yifei Sun
Nitesh V. Chawla
T. Laurent
Yann LeCun
Xavier Bresson
Bryan Hooi
RALM
112
71
0
12 Feb 2024
Demystifying Chains, Trees, and Graphs of Thoughts
Demystifying Chains, Trees, and Graphs of Thoughts
Maciej Besta
Florim Memedi
Zhenyu Zhang
Robert Gerstenberger
Guangyuan Piao
...
Aleš Kubíček
H. Niewiadomski
Aidan O'Mahony
Onur Mutlu
Torsten Hoefler
AI4CE
LRM
75
27
0
25 Jan 2024
Graph Spatiotemporal Process for Multivariate Time Series Anomaly
  Detection with Missing Values
Graph Spatiotemporal Process for Multivariate Time Series Anomaly Detection with Missing Values
Yu Zheng
Huan Yee Koh
Ming Jin
Lianhua Chi
Haishuai Wang
Khoa T. Phan
Yi-Ping Phoebe Chen
Shirui Pan
Wei Xiang
AI4TS
42
14
0
11 Jan 2024
Reasoning on Graphs: Faithful and Interpretable Large Language Model
  Reasoning
Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning
Linhao Luo
Yuan-Fang Li
Gholamreza Haffari
Shirui Pan
RALM
LRM
45
190
0
02 Oct 2023
Structure-free Graph Condensation: From Large-scale Graphs to Condensed
  Graph-free Data
Structure-free Graph Condensation: From Large-scale Graphs to Condensed Graph-free Data
Xin Zheng
Miao Zhang
C. Chen
Quoc Viet Hung Nguyen
Xingquan Zhu
Shirui Pan
DD
44
59
0
05 Jun 2023
Unraveling Privacy Risks of Individual Fairness in Graph Neural Networks
Unraveling Privacy Risks of Individual Fairness in Graph Neural Networks
He Zhang
Xingliang Yuan
Shirui Pan
48
11
0
30 Jan 2023
From Unsupervised to Few-shot Graph Anomaly Detection: A Multi-scale
  Contrastive Learning Approach
From Unsupervised to Few-shot Graph Anomaly Detection: A Multi-scale Contrastive Learning Approach
Yu Zheng
Ming Jin
Yixin Liu
Lianhua Chi
Khoa T. Phan
Shirui Pan
Yi-Ping Phoebe Chen
23
13
0
11 Feb 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
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
407
8,559
0
28 Jan 2022
1