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GraphText: Graph Reasoning in Text Space

GraphText: Graph Reasoning in Text Space

2 October 2023
Jianan Zhao
Le Zhuo
Yikang Shen
Meng Qu
Kai Liu
Michael M. Bronstein
Zhaocheng Zhu
Jian Tang
ArXiv (abs)PDFHTMLHuggingFace (2 upvotes)

Papers citing "GraphText: Graph Reasoning in Text Space"

21 / 71 papers shown
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
D. Yin
Qing Li
AI4CE
437
45
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
470
13
0
23 Apr 2024
ProtLLM: An Interleaved Protein-Language LLM with Protein-as-Word
  Pre-Training
ProtLLM: An Interleaved Protein-Language LLM with Protein-as-Word Pre-Training
Le Zhuo
Zewen Chi
Minghao Xu
Heyan Huang
Heqi Zheng
Conghui He
Xian-Ling Mao
Wentao Zhang
266
20
0
28 Feb 2024
GraphWiz: An Instruction-Following Language Model for Graph Problems
GraphWiz: An Instruction-Following Language Model for Graph Problems
Polydoros Giannouris
Yuhan Li
Jianheng Tang
Jia Li
598
39
0
25 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
276
2
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
316
21
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
296
78
0
17 Feb 2024
InstructGraph: Boosting Large Language Models via Graph-centric
  Instruction Tuning and Preference Alignment
InstructGraph: Boosting Large Language Models via Graph-centric Instruction Tuning and Preference Alignment
Jianing Wang
Junda Wu
Yupeng Hou
Yao Liu
Ming Gao
Julian McAuley
282
55
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 Chawla
T. Laurent
Yann LeCun
Xavier Bresson
Bryan Hooi
RALM
579
190
0
12 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
180
17
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
616
8
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
Shucheng Zhou
AI4CE
385
74
0
03 Feb 2024
Demystifying Chains, Trees, and Graphs of Thoughts
Demystifying Chains, Trees, and Graphs of ThoughtsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
Maciej Besta
Florim Memedi
Zhenyu Zhang
Robert Gerstenberger
Guangyuan Piao
...
Aleš Kubíček
H. Niewiadomski
Aidan O'Mahony
Onur Mutlu
Torsten Hoefler
AI4CELRM
1.0K
55
0
25 Jan 2024
Large Language Models on Graphs: A Comprehensive Survey
Large Language Models on Graphs: A Comprehensive SurveyIEEE Transactions on Knowledge and Data Engineering (TKDE), 2023
Sara Szymkuć
Gang Liu
Chi Han
Meng Jiang
Heng Ji
Jiawei Han
AI4CE
350
250
0
05 Dec 2023
A Survey of Graph Meets Large Language Model: Progress and Future
  Directions
A Survey of Graph Meets Large Language Model: Progress and Future DirectionsInternational Joint Conference on Artificial Intelligence (IJCAI), 2023
Yuhan Li
Zhixun Li
Peisong Wang
Jia Li
Xiangguo Sun
Hongtao Cheng
Jeffrey Xu Yu
567
88
0
21 Nov 2023
LLMs as Visual Explainers: Advancing Image Classification with Evolving
  Visual Descriptions
LLMs as Visual Explainers: Advancing Image Classification with Evolving Visual Descriptions
Songhao Han
Le Zhuo
Yue Liao
Si Liu
VLM
345
18
0
20 Nov 2023
Graph Agent: Explicit Reasoning Agent for Graphs
Graph Agent: Explicit Reasoning Agent for Graphs
Qinyong Wang
Zhenxiang Gao
Rong Xu
AI4CE
146
10
0
25 Oct 2023
Label-free Node Classification on Graphs with Large Language Models
  (LLMS)
Label-free Node Classification on Graphs with Large Language Models (LLMS)International Conference on Learning Representations (ICLR), 2023
Zhikai Chen
Haitao Mao
Hongzhi Wen
Haoyu Han
Wei Jin
Haiyang Zhang
Hui Liu
Shucheng Zhou
339
95
0
07 Oct 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
526
30
0
28 Sep 2023
Exploring the Potential of Large Language Models (LLMs) in Learning on
  Graphs
Exploring the Potential of Large Language Models (LLMs) in Learning on GraphsSIGKDD Explorations (SIGKDD Explor.), 2023
Zhikai Chen
Haitao Mao
Hang Li
Wei Jin
Haifang Wen
...
Shuaiqiang Wang
D. Yin
Wenqi Fan
Hui Liu
Shucheng Zhou
AI4CE
642
376
0
07 Jul 2023
Adaptive Universal Generalized PageRank Graph Neural Network
Adaptive Universal Generalized PageRank Graph Neural NetworkInternational Conference on Learning Representations (ICLR), 2020
Eli Chien
Jianhao Peng
Pan Li
O. Milenkovic
995
925
0
14 Jun 2020
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