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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"

39 / 189 papers shown
Title
Disentangled Representation Learning with Large Language Models for
  Text-Attributed Graphs
Disentangled Representation Learning with Large Language Models for Text-Attributed Graphs
Yi Qin
Xin Wang
Ziwei Zhang
Wenwu Zhu
AI4CE
22
29
0
27 Oct 2023
LLM4DyG: Can Large Language Models Solve Spatial-Temporal Problems on
  Dynamic Graphs?
LLM4DyG: Can Large Language Models Solve Spatial-Temporal Problems on Dynamic Graphs?
Zeyang Zhang
Xin Wang
Ziwei Zhang
Haoyang Li
Yi Qin
Wenwu Zhu
37
24
0
26 Oct 2023
Graph Agent: Explicit Reasoning Agent for Graphs
Graph Agent: Explicit Reasoning Agent for Graphs
Qinyong Wang
Zhenxiang Gao
Rong Xu
AI4CE
23
5
0
25 Oct 2023
Enhancing Illicit Activity Detection using XAI: A Multimodal Graph-LLM
  Framework
Enhancing Illicit Activity Detection using XAI: A Multimodal Graph-LLM Framework
Jack Nicholls
Aditya Kuppa
Nhien-An Le-Khac
38
4
0
20 Oct 2023
Better to Ask in English: Cross-Lingual Evaluation of Large Language
  Models for Healthcare Queries
Better to Ask in English: Cross-Lingual Evaluation of Large Language Models for Healthcare Queries
Yiqiao Jin
Mohit Chandra
Gaurav Verma
Yibo Hu
Munmun De Choudhury
Srijan Kumar
LM&MA
ELM
89
66
0
19 Oct 2023
GraphGPT: Graph Instruction Tuning for Large Language Models
GraphGPT: Graph Instruction Tuning for Large Language Models
Jiabin Tang
Yuhao Yang
Wei Wei
Lei Shi
Lixin Su
Suqi Cheng
Dawei Yin
Chao Huang
34
121
0
19 Oct 2023
Fast Graph Condensation with Structure-based Neural Tangent Kernel
Fast Graph Condensation with Structure-based Neural Tangent Kernel
Lin Wang
Wenqi Fan
Jiatong Li
Yao Ma
Qing Li
DD
26
27
0
17 Oct 2023
Large Models for Time Series and Spatio-Temporal Data: A Survey and
  Outlook
Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook
Ming Jin
Qingsong Wen
Yuxuan Liang
Chaoli Zhang
Siqiao Xue
...
Shirui Pan
Vincent S. Tseng
Yu Zheng
Lei Chen
Hui Xiong
AI4TS
SyDa
35
117
0
16 Oct 2023
Integrating Graphs with Large Language Models: Methods and Prospects
Integrating Graphs with Large Language Models: Methods and Prospects
Shirui Pan
Yizhen Zheng
Yixin Liu
AIFin
27
26
0
09 Oct 2023
Beyond Text: A Deep Dive into Large Language Models' Ability on
  Understanding Graph Data
Beyond Text: A Deep Dive into Large Language Models' Ability on Understanding Graph Data
Yuntong Hu
Zhengwu Zhang
Liang Zhao
GNN
31
23
0
07 Oct 2023
Label-free Node Classification on Graphs with Large Language Models
  (LLMS)
Label-free Node Classification on Graphs with Large Language Models (LLMS)
Zhikai Chen
Haitao Mao
Hongzhi Wen
Haoyu Han
Wei-dong Jin
Haiyang Zhang
Hui Liu
Jiliang Tang
30
72
0
07 Oct 2023
Talk like a Graph: Encoding Graphs for Large Language Models
Talk like a Graph: Encoding Graphs for Large Language Models
Bahare Fatemi
Jonathan J. Halcrow
Bryan Perozzi
AI4CE
14
93
0
06 Oct 2023
Thought Propagation: An Analogical Approach to Complex Reasoning with
  Large Language Models
Thought Propagation: An Analogical Approach to Complex Reasoning with Large Language Models
Junchi Yu
Ran He
Rex Ying
LRM
58
24
0
06 Oct 2023
Compressing LLMs: The Truth is Rarely Pure and Never Simple
Compressing LLMs: The Truth is Rarely Pure and Never Simple
Ajay Jaiswal
Zhe Gan
Xianzhi Du
Bowen Zhang
Zhangyang Wang
Yinfei Yang
MQ
38
45
0
02 Oct 2023
GraphText: Graph Reasoning in Text Space
GraphText: Graph Reasoning in Text Space
Jianan Zhao
Le Zhuo
Yikang Shen
Meng Qu
Kai Liu
Michael M. Bronstein
Zhaocheng Zhu
Jian Tang
109
71
0
02 Oct 2023
One for All: Towards Training One Graph Model for All Classification
  Tasks
One for All: Towards Training One Graph Model for All Classification Tasks
Hao Liu
Jiarui Feng
Lecheng Kong
Ningyue Liang
Dacheng Tao
Yixin Chen
Muhan Zhang
AI4CE
15
110
0
29 Sep 2023
Can LLMs Effectively Leverage Graph Structural Information through
  Prompts, and Why?
Can LLMs Effectively Leverage Graph Structural Information through Prompts, and Why?
Jin Huang
Xingjian Zhang
Qiaozhu Mei
Jiaqi Ma
30
13
0
28 Sep 2023
Unleashing the Power of Graph Learning through LLM-based Autonomous
  Agents
Unleashing the Power of Graph Learning through LLM-based Autonomous Agents
Lanning Wei
Zhiqiang He
Huan Zhao
Quanming Yao
LLMAG
32
1
0
08 Sep 2023
MindMap: Knowledge Graph Prompting Sparks Graph of Thoughts in Large
  Language Models
MindMap: Knowledge Graph Prompting Sparks Graph of Thoughts in Large Language Models
Yilin Wen
Zifeng Wang
Jimeng Sun
ReLM
41
65
0
17 Aug 2023
Language is All a Graph Needs
Language is All a Graph Needs
Ruosong Ye
Caiqi Zhang
Runhui Wang
Shuyuan Xu
Yongfeng Zhang
AI4CE
63
151
0
14 Aug 2023
Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for
  Recommendation and Text Generation
Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation
Wei Jin
Haitao Mao
Zheng Li
Haoming Jiang
Cheng-hsin Luo
...
Suhang Wang
Yizhou Sun
Jiliang Tang
Bing Yin
Xianfeng Tang
AI4TS
41
37
0
19 Jul 2023
Recommender Systems in the Era of Large Language Models (LLMs)
Recommender Systems in the Era of Large Language Models (LLMs)
Zihuai Zhao
Wenqi Fan
Jiatong Li
Yunqing Liu
Xiaowei Mei
...
Zhen Wen
Fei Wang
Xiangyu Zhao
Jiliang Tang
Qing Li
KELM
63
309
0
05 Jul 2023
Demystifying Structural Disparity in Graph Neural Networks: Can One Size
  Fit All?
Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All?
Haitao Mao
Zhikai Chen
Wei Jin
Haoyu Han
Yao Ma
Tong Zhao
Neil Shah
Jiliang Tang
30
32
0
02 Jun 2023
Can Language Models Solve Graph Problems in Natural Language?
Can Language Models Solve Graph Problems in Natural Language?
Heng Wang
Shangbin Feng
Tianxing He
Zhaoxuan Tan
Xiaochuang Han
Yulia Tsvetkov
ReLM
LRM
21
180
0
17 May 2023
StructGPT: A General Framework for Large Language Model to Reason over
  Structured Data
StructGPT: A General Framework for Large Language Model to Reason over Structured Data
Jinhao Jiang
Kun Zhou
Zican Dong
Keming Ye
Wayne Xin Zhao
Ji-Rong Wen
LRM
LMTD
RALM
44
259
0
16 May 2023
Chat-REC: Towards Interactive and Explainable LLMs-Augmented Recommender
  System
Chat-REC: Towards Interactive and Explainable LLMs-Augmented Recommender System
Yunfan Gao
Tao Sheng
Youlin Xiang
Yun Xiong
Haofen Wang
Jiawei Zhang
RALM
KELM
129
265
0
25 Mar 2023
Sparks of Artificial General Intelligence: Early experiments with GPT-4
Sparks of Artificial General Intelligence: Early experiments with GPT-4
Sébastien Bubeck
Varun Chandrasekaran
Ronen Eldan
J. Gehrke
Eric Horvitz
...
Scott M. Lundberg
Harsha Nori
Hamid Palangi
Marco Tulio Ribeiro
Yi Zhang
ELM
AI4MH
AI4CE
ALM
298
2,232
0
22 Mar 2023
Graph Learning and Its Advancements on Large Language Models: A Holistic
  Survey
Graph Learning and Its Advancements on Large Language Models: A Holistic Survey
Shaopeng Wei
Yu Zhao
Xingyan Chen
Qing Li
Fuzhen Zhuang
Ji Liu
Fuji Ren
Gang Kou
AI4CE
21
5
0
17 Dec 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
361
8,495
0
28 Jan 2022
Confidence May Cheat: Self-Training on Graph Neural Networks under
  Distribution Shift
Confidence May Cheat: Self-Training on Graph Neural Networks under Distribution Shift
Hongrui Liu
Binbin Hu
Xiao Wang
Chuan Shi
Qing Cui
Jun Zhou
92
54
0
27 Jan 2022
Text and Code Embeddings by Contrastive Pre-Training
Text and Code Embeddings by Contrastive Pre-Training
Arvind Neelakantan
Tao Xu
Raul Puri
Alec Radford
Jesse Michael Han
...
Tabarak Khan
Toki Sherbakov
Joanne Jang
Peter Welinder
Lilian Weng
SSL
AI4TS
218
422
0
24 Jan 2022
Node Feature Extraction by Self-Supervised Multi-scale Neighborhood
  Prediction
Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction
Eli Chien
Wei-Cheng Chang
Cho-Jui Hsieh
Hsiang-Fu Yu
Jiong Zhang
O. Milenkovic
Inderjit S Dhillon
154
130
0
29 Oct 2021
TextGNN: Improving Text Encoder via Graph Neural Network in Sponsored
  Search
TextGNN: Improving Text Encoder via Graph Neural Network in Sponsored Search
Jason Zhu
Yanling Cui
Yuming Liu
Hao Sun
Xue Li
Markus Pelger
Tianqi Yan
Liangjie Zhang
Ruofei Zhang
Huasha Zhao
AI4CE
72
74
0
15 Jan 2021
Pre-trained Models for Natural Language Processing: A Survey
Pre-trained Models for Natural Language Processing: A Survey
Xipeng Qiu
Tianxiang Sun
Yige Xu
Yunfan Shao
Ning Dai
Xuanjing Huang
LM&MA
VLM
243
1,450
0
18 Mar 2020
Active Learning for Graph Neural Networks via Node Feature Propagation
Active Learning for Graph Neural Networks via Node Feature Propagation
Yuexin Wu
Yichong Xu
Aarti Singh
Yiming Yang
A. Dubrawski
GNN
AI4CE
46
63
0
16 Oct 2019
K-BERT: Enabling Language Representation with Knowledge Graph
K-BERT: Enabling Language Representation with Knowledge Graph
Weijie Liu
Peng Zhou
Zhe Zhao
Zhiruo Wang
Qi Ju
Haotang Deng
Ping Wang
231
778
0
17 Sep 2019
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph
  Neural Networks
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks
Minjie Wang
Da Zheng
Zihao Ye
Quan Gan
Mufei Li
...
J. Zhao
Haotong Zhang
Alex Smola
Jinyang Li
Zheng-Wei Zhang
AI4CE
GNN
197
746
0
03 Sep 2019
Language Models as Knowledge Bases?
Language Models as Knowledge Bases?
Fabio Petroni
Tim Rocktaschel
Patrick Lewis
A. Bakhtin
Yuxiang Wu
Alexander H. Miller
Sebastian Riedel
KELM
AI4MH
415
2,586
0
03 Sep 2019
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomáš Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
239
31,257
0
16 Jan 2013
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