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Exploring the Potential of Large Language Models (LLMs) in Learning on
  Graphs

Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs

7 July 2023
Zhikai Chen
Haitao Mao
Hang Li
Wei Jin
Haifang Wen
Xiaochi Wei
Shuaiqiang Wang
Dawei Yin
Wenqi Fan
Hui Liu
Jiliang Tang
    AI4CE
ArXivPDFHTML

Papers citing "Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs"

50 / 189 papers shown
Title
Graph Machine Learning in the Era of Large Language Models (LLMs)
Graph Machine Learning in the Era of Large Language Models (LLMs)
Wenqi Fan
Shijie Wang
Jiani Huang
Zhikai Chen
Yu Song
...
Haitao Mao
Hui Liu
Xiaorui Liu
Dawei Yin
Qing Li
AI4CE
33
23
0
23 Apr 2024
A Survey of Large Language Models on Generative Graph Analytics: Query,
  Learning, and Applications
A Survey of Large Language Models on Generative Graph Analytics: Query, Learning, and Applications
Wenbo Shang
Xin Huang
27
9
0
23 Apr 2024
Test-Time Training on Graphs with Large Language Models (LLMs)
Test-Time Training on Graphs with Large Language Models (LLMs)
Jiaxin Zhang
Yiqi Wang
Xihong Yang
Siwei Wang
Yu Feng
Yu Shi
Ruicaho Ren
En Zhu
Xinwang Liu
50
2
0
21 Apr 2024
You do not have to train Graph Neural Networks at all on text-attributed
  graphs
You do not have to train Graph Neural Networks at all on text-attributed graphs
Kaiwen Dong
Zhichun Guo
Nitesh V. Chawla
37
1
0
17 Apr 2024
Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on
  Graphs
Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs
Bowen Jin
Chulin Xie
Jiawei Zhang
Kashob Kumar Roy
Yu Zhang
...
Ruirui Li
Xianfeng Tang
Suhang Wang
Yu Meng
Jiawei Han
LRM
RALM
53
38
0
10 Apr 2024
Elephants Never Forget: Memorization and Learning of Tabular Data in
  Large Language Models
Elephants Never Forget: Memorization and Learning of Tabular Data in Large Language Models
Sebastian Bordt
Harsha Nori
Vanessa Rodrigues
Besmira Nushi
Rich Caruana
38
12
0
09 Apr 2024
FFN-SkipLLM: A Hidden Gem for Autoregressive Decoding with Adaptive Feed
  Forward Skipping
FFN-SkipLLM: A Hidden Gem for Autoregressive Decoding with Adaptive Feed Forward Skipping
Ajay Jaiswal
Bodun Hu
Lu Yin
Yeonju Ro
Shiwei Liu
Tianlong Chen
Aditya Akella
58
12
0
05 Apr 2024
Evaluating the Factuality of Large Language Models using Large-Scale
  Knowledge Graphs
Evaluating the Factuality of Large Language Models using Large-Scale Knowledge Graphs
Xiaoze Liu
Feijie Wu
Tianyang Xu
Zhuo Chen
Yichi Zhang
Xiaoqian Wang
Jing Gao
HILM
39
8
0
01 Apr 2024
Large Language Models for Education: A Survey and Outlook
Large Language Models for Education: A Survey and Outlook
Shen Wang
Tianlong Xu
Hang Li
Chaoli Zhang
Joleen Liang
Jiliang Tang
Philip S. Yu
Qingsong Wen
AI4Ed
35
93
0
26 Mar 2024
Exploring the Potential of Large Language Models in Graph Generation
Exploring the Potential of Large Language Models in Graph Generation
Yang Yao
Xin Wang
Zeyang Zhang
Yi Qin
Ziwei Zhang
Xu Chu
Yuekui Yang
Wenwu Zhu
Hong-yan Mei
37
11
0
21 Mar 2024
GraphInstruct: Empowering Large Language Models with Graph Understanding
  and Reasoning Capability
GraphInstruct: Empowering Large Language Models with Graph Understanding and Reasoning Capability
Zihan Luo
Xiran Song
Hong Huang
Jianxun Lian
Chenhao Zhang
Jinqi Jiang
Xing Xie
LRM
29
30
0
07 Mar 2024
Neural Graph Generator: Feature-Conditioned Graph Generation using
  Latent Diffusion Models
Neural Graph Generator: Feature-Conditioned Graph Generation using Latent Diffusion Models
Iakovos Evdaimon
Giannis Nikolentzos
Michail Chatzianastasis
Hadi Abdine
Michalis Vazirgiannis
DiffM
30
4
0
03 Mar 2024
MuseGraph: Graph-oriented Instruction Tuning of Large Language Models
  for Generic Graph Mining
MuseGraph: Graph-oriented Instruction Tuning of Large Language Models for Generic Graph Mining
Yanchao Tan
Hang Lv
Xin Huang
Jiawei Zhang
Shiping Wang
Carl Yang
42
10
0
02 Mar 2024
Large Language Models and Games: A Survey and Roadmap
Large Language Models and Games: A Survey and Roadmap
Roberto Gallotta
Graham Todd
Marvin Zammit
Sam Earle
Antonios Liapis
Julian Togelius
Georgios N. Yannakakis
LLMAG
LM&MA
AI4CE
LRM
50
73
0
28 Feb 2024
GraphWiz: An Instruction-Following Language Model for Graph Problems
GraphWiz: An Instruction-Following Language Model for Graph Problems
Nuo Chen
Yuhan Li
Jianheng Tang
Jia Li
40
28
0
25 Feb 2024
HiGPT: Heterogeneous Graph Language Model
HiGPT: Heterogeneous Graph Language Model
Jiabin Tang
Yuhao Yang
Wei Wei
Lei Shi
Long Xia
Dawei Yin
Chao Huang
44
20
0
25 Feb 2024
GraphEdit: Large Language Models for Graph Structure Learning
GraphEdit: Large Language Models for Graph Structure Learning
Zirui Guo
Lianghao Xia
Yanhua Yu
Yuling Wang
Zixuan Yang
Zhiyong Huang
Chao Huang
49
18
0
23 Feb 2024
A Unified Taxonomy-Guided Instruction Tuning Framework for Entity Set
  Expansion and Taxonomy Expansion
A Unified Taxonomy-Guided Instruction Tuning Framework for Entity Set Expansion and Taxonomy Expansion
Yanzhen Shen
Yu Zhang
Yunyi Zhang
Jiawei Han
48
5
0
20 Feb 2024
Can GNN be Good Adapter for LLMs?
Can GNN be Good Adapter for LLMs?
Xuanwen Huang
Kaiqiao Han
Yang Yang
Dezheng Bao
Quanjin Tao
Ziwei Chai
Qi Zhu
AI4CE
26
37
0
20 Feb 2024
Distilling Large Language Models for Text-Attributed Graph Learning
Distilling Large Language Models for Text-Attributed Graph Learning
Bo Pan
Zhengwu Zhang
Yifei Zhang
Yuntong Hu
Liang Zhao
35
13
0
19 Feb 2024
Towards Versatile Graph Learning Approach: from the Perspective of Large
  Language Models
Towards Versatile Graph Learning Approach: from the Perspective of Large Language Models
Lanning Wei
Jun Gao
Huan Zhao
Quanming Yao
30
1
0
18 Feb 2024
Large Language Model-driven Meta-structure Discovery in Heterogeneous
  Information Network
Large Language Model-driven Meta-structure Discovery in Heterogeneous Information Network
Lin Chen
Fengli Xu
Nian Li
Zhenyu Han
Meng Wang
Yong Li
Pan Hui
LRM
36
7
0
18 Feb 2024
ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs
ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs
Yuhan Li
Peisong Wang
Zhixun Li
Jeffrey Xu Yu
Jia Li
27
39
0
17 Feb 2024
DELL: Generating Reactions and Explanations for LLM-Based Misinformation
  Detection
DELL: Generating Reactions and Explanations for LLM-Based Misinformation Detection
Herun Wan
Shangbin Feng
Zhaoxuan Tan
Heng Wang
Yulia Tsvetkov
Minnan Luo
72
29
0
16 Feb 2024
Inadequacies of Large Language Model Benchmarks in the Era of Generative
  Artificial Intelligence
Inadequacies of Large Language Model Benchmarks in the Era of Generative Artificial Intelligence
Timothy R. McIntosh
Teo Susnjak
Tong Liu
Paul Watters
Malka N. Halgamuge
ALM
ELM
64
50
0
15 Feb 2024
Large Language Model with Graph Convolution for Recommendation
Large Language Model with Graph Convolution for Recommendation
Yingpeng Du
Ziteng Wang
Zhu Sun
Haoyan Chua
Hongzhi Liu
Zhonghai Wu
Yining Ma
Jie Zhang
Youchen Sun
35
7
0
14 Feb 2024
LLaGA: Large Language and Graph Assistant
LLaGA: Large Language and Graph Assistant
Runjin Chen
Tong Zhao
Ajay Jaiswal
Neil Shah
Zhangyang Wang
23
54
0
13 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
109
70
0
12 Feb 2024
Large-Language-Model Empowered Dose Volume Histogram Prediction for
  Intensity Modulated Radiotherapy
Large-Language-Model Empowered Dose Volume Histogram Prediction for Intensity Modulated Radiotherapy
Zehao Dong
Yixin Chen
Hiram Gay
Yao Hao
Geoff Hugo
Pamela Samson
Tianyu Zhao
42
0
0
11 Feb 2024
Large Language Model Meets Graph Neural Network in Knowledge
  Distillation
Large Language Model Meets Graph Neural Network in Knowledge Distillation
Shengxiang Hu
Guobing Zou
Song Yang
Yanglan Gan
Bofeng Zhang
Yixin Chen
46
7
0
08 Feb 2024
Let Your Graph Do the Talking: Encoding Structured Data for LLMs
Let Your Graph Do the Talking: Encoding Structured Data for LLMs
Bryan Perozzi
Bahare Fatemi
Dustin Zelle
Anton Tsitsulin
Mehran Kazemi
Rami Al-Rfou
Jonathan J. Halcrow
GNN
36
55
0
08 Feb 2024
An Examination on the Effectiveness of Divide-and-Conquer Prompting in
  Large Language Models
An Examination on the Effectiveness of Divide-and-Conquer Prompting in Large Language Models
Yizhou Zhang
Lun Du
Defu Cao
Qiang Fu
Yan Liu
LRM
20
7
0
08 Feb 2024
CADReN: Contextual Anchor-Driven Relational Network for Controllable
  Cross-Graphs Node Importance Estimation
CADReN: Contextual Anchor-Driven Relational Network for Controllable Cross-Graphs Node Importance Estimation
Zijie Zhong
Yunhui Zhang
Ziyi Chang
Zengchang Qin
GNN
25
0
0
06 Feb 2024
Similarity-based Neighbor Selection for Graph LLMs
Similarity-based Neighbor Selection for Graph LLMs
Rui Li
Jiwei Li
Jiawei Han
Guoyin Wang
24
3
0
06 Feb 2024
Graph-enhanced Large Language Models in Asynchronous Plan Reasoning
Graph-enhanced Large Language Models in Asynchronous Plan Reasoning
Fangru Lin
Emanuele La Malfa
Valentin Hofmann
Elle Michelle Yang
Anthony Cohn
J. Pierrehumbert
LRM
53
16
0
05 Feb 2024
Position: What Can Large Language Models Tell Us about Time Series
  Analysis
Position: What Can Large Language Models Tell Us about Time Series Analysis
Ming Jin
Yifan Zhang
Wei Chen
Kexin Zhang
Yuxuan Liang
Bin Yang
Jindong Wang
Shirui Pan
Qingsong Wen
AI4TS
29
16
0
05 Feb 2024
Advancing Graph Representation Learning with Large Language Models: A
  Comprehensive Survey of Techniques
Advancing Graph Representation Learning with Large Language Models: A Comprehensive Survey of Techniques
Qiheng Mao
Zemin Liu
Chenghao Liu
Zhuo Li
Jianling Sun
16
7
0
04 Feb 2024
Future Directions in the Theory of Graph Machine Learning
Future Directions in the Theory of Graph Machine Learning
Christopher Morris
Fabrizio Frasca
Nadav Dym
Haggai Maron
.Ismail .Ilkan Ceylan
Ron Levie
Derek Lim
Michael M. Bronstein
Martin Grohe
Stefanie Jegelka
AI4CE
30
5
0
03 Feb 2024
Position: Graph Foundation Models are Already Here
Position: Graph Foundation Models are Already Here
Haitao Mao
Zhikai Chen
Wenzhuo Tang
Jianan Zhao
Yao Ma
Tong Zhao
Neil Shah
Mikhail Galkin
Jiliang Tang
AI4CE
61
26
0
03 Feb 2024
GITA: Graph to Visual and Textual Integration for Vision-Language Graph
  Reasoning
GITA: Graph to Visual and Textual Integration for Vision-Language Graph Reasoning
Yanbin Wei
Shuai Fu
Weisen Jiang
Zejian Zhang
Zhixiong Zeng
Qi Wu
James T. Kwok
Yu Zhang
35
11
0
03 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
Chain of History: Learning and Forecasting with LLMs for Temporal
  Knowledge Graph Completion
Chain of History: Learning and Forecasting with LLMs for Temporal Knowledge Graph Completion
Ruilin Luo
Tianle Gu
Haoling Li
Junzhe Li
Zicheng Lin
Jiayi Li
Yujiu Yang
AI4CE
33
7
0
11 Jan 2024
User Modeling in the Era of Large Language Models: Current Research and
  Future Directions
User Modeling in the Era of Large Language Models: Current Research and Future Directions
Zhaoxuan Tan
Meng-Long Jiang
25
8
0
11 Dec 2023
Efficient Large Language Models Fine-Tuning On Graphs
Efficient Large Language Models Fine-Tuning On Graphs
Rui Xue
Xipeng Shen
Ruozhou Yu
Xiaorui Liu
29
3
0
07 Dec 2023
Large Language Models on Graphs: A Comprehensive Survey
Large Language Models on Graphs: A Comprehensive Survey
Bowen Jin
Gang Liu
Chi Han
Meng-Long Jiang
Heng Ji
Jiawei Han
AI4CE
28
137
0
05 Dec 2023
Exploring Large Language Models for Human Mobility Prediction under
  Public Events
Exploring Large Language Models for Human Mobility Prediction under Public Events
Yuebing Liang
Yichao Liu
Xiaohan Wang
Zhan Zhao
123
30
0
29 Nov 2023
Graph Prompt Learning: A Comprehensive Survey and Beyond
Graph Prompt Learning: A Comprehensive Survey and Beyond
Xiangguo Sun
Jiawen Zhang
Xixi Wu
Hong Cheng
Yun Xiong
Jia Li
25
51
0
28 Nov 2023
Large Language Models as Topological Structure Enhancers for Text-Attributed Graphs
Large Language Models as Topological Structure Enhancers for Text-Attributed Graphs
Shengyin Sun
Yuxiang Ren
Chen Ma
Xuecang Zhang
110
20
0
24 Nov 2023
A Survey of Graph Meets Large Language Model: Progress and Future
  Directions
A Survey of Graph Meets Large Language Model: Progress and Future Directions
Yuhan Li
Zhixun Li
Peisong Wang
Jia Li
Xiangguo Sun
Hongtao Cheng
Jeffrey Xu Yu
38
55
0
21 Nov 2023
Which Modality should I use -- Text, Motif, or Image? : Understanding
  Graphs with Large Language Models
Which Modality should I use -- Text, Motif, or Image? : Understanding Graphs with Large Language Models
Debarati Das
Ishaan Gupta
Jaideep Srivastava
Dongyeop Kang
33
9
0
16 Nov 2023
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