ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2305.12268
  4. Cited By
Patton: Language Model Pretraining on Text-Rich Networks

Patton: Language Model Pretraining on Text-Rich Networks

20 May 2023
Bowen Jin
Wentao Zhang
Yu Zhang
Yu Meng
Xinyang Zhang
Qi Zhu
Jiawei Han
    VLM
ArXivPDFHTML

Papers citing "Patton: Language Model Pretraining on Text-Rich Networks"

30 / 30 papers shown
Title
Unifying Text Semantics and Graph Structures for Temporal Text-attributed Graphs with Large Language Models
Unifying Text Semantics and Graph Structures for Temporal Text-attributed Graphs with Large Language Models
Siwei Zhang
Yun Xiong
Yateng Tang
Xi Chen
Zian Jia
Zehao Gu
Jiarong Xu
Jiawei Zhang
AI4CE
70
1
0
18 Mar 2025
Hierarchical Graph Topic Modeling with Topic Tree-based Transformer
Hierarchical Graph Topic Modeling with Topic Tree-based Transformer
Delvin Ce Zhang
Menglin Yang
Xiaobao Wu
Jiasheng Zhang
Hady W. Lauw
45
0
0
17 Feb 2025
The Graph's Apprentice: Teaching an LLM Low Level Knowledge for Circuit Quality Estimation
The Graph's Apprentice: Teaching an LLM Low Level Knowledge for Circuit Quality Estimation
Reza Moravej
Saurabh Bodhe
Zhanguang Zhang
Didier Chetelat
Dimitrios Tsaras
Yingxue Zhang
Hui-Ling Zhen
Jianye Hao
M. Yuan
50
1
0
17 Feb 2025
HierPromptLM: A Pure PLM-based Framework for Representation Learning on Heterogeneous Text-rich Networks
HierPromptLM: A Pure PLM-based Framework for Representation Learning on Heterogeneous Text-rich Networks
Q. Zhu
Liang Zhang
Qianxiong Xu
Cheng Long
131
1
0
22 Jan 2025
Context-Aware Deep Learning for Multi Modal Depression Detection
Context-Aware Deep Learning for Multi Modal Depression Detection
Genevieve Lam
Huang Dongyan
Weisi Lin
31
0
0
26 Dec 2024
Bridging Large Language Models and Graph Structure Learning Models for
  Robust Representation Learning
Bridging Large Language Models and Graph Structure Learning Models for Robust Representation Learning
Guangxin Su
Yifan Zhu
Wenjie Zhang
Hanchen Wang
Ying Zhang
36
1
0
15 Oct 2024
Privately Learning from Graphs with Applications in Fine-tuning Large
  Language Models
Privately Learning from Graphs with Applications in Fine-tuning Large Language Models
Haoteng Yin
Rongzhe Wei
Eli Chien
P. Li
28
0
0
10 Oct 2024
HLM-Cite: Hybrid Language Model Workflow for Text-based Scientific
  Citation Prediction
HLM-Cite: Hybrid Language Model Workflow for Text-based Scientific Citation Prediction
Qianyue Hao
Jingyang Fan
Fengli Xu
Jian Yuan
Yong Li
24
0
0
10 Oct 2024
InstructG2I: Synthesizing Images from Multimodal Attributed Graphs
InstructG2I: Synthesizing Images from Multimodal Attributed Graphs
Bowen Jin
Ziqi Pang
Bingjun Guo
Yu-Xiong Wang
Jiaxuan You
Jiawei Han
DiffM
30
1
0
09 Oct 2024
Investigating Instruction Tuning Large Language Models on Graphs
Investigating Instruction Tuning Large Language Models on Graphs
Kerui Zhu
Bo-Wei Huang
Bowen Jin
Yizhu Jiao
Ming Zhong
Kevin Chang
Shou-De Lin
Jiawei Han
54
2
0
10 Aug 2024
GLBench: A Comprehensive Benchmark for Graph with Large Language Models
GLBench: A Comprehensive Benchmark for Graph with Large Language Models
Yuhan Li
Peisong Wang
Xiao Zhu
Aochuan Chen
Haiyun Jiang
Deng Cai
Victor Wai Kin Chan
Jia Li
46
12
0
10 Jul 2024
Large Language Model Enhanced Knowledge Representation Learning: A Survey
Large Language Model Enhanced Knowledge Representation Learning: A Survey
Xin Wang
Zirui Chen
Haofen Wang
Leong Hou U
Zhao Li
Wenbin Guo
KELM
60
3
0
01 Jul 2024
TEG-DB: A Comprehensive Dataset and Benchmark of Textual-Edge Graphs
TEG-DB: A Comprehensive Dataset and Benchmark of Textual-Edge Graphs
Zhuofeng Li
Zixing Gou
Xiangnan Zhang
Zhongyuan Liu
Sirui Li
Yuntong Hu
Chen Ling
Zheng Zhang
Liang Zhao
29
6
0
14 Jun 2024
Hierarchical Compression of Text-Rich Graphs via Large Language Models
Hierarchical Compression of Text-Rich Graphs via Large Language Models
Shichang Zhang
Da Zheng
Jiani Zhang
Qi Zhu
Xiang Song
Soji Adeshina
Christos Faloutsos
George Karypis
Yizhou Sun
VLM
18
1
0
13 Jun 2024
LinkGPT: Teaching Large Language Models To Predict Missing Links
LinkGPT: Teaching Large Language Models To Predict Missing Links
Zhongmou He
Jing Zhu
Shengyi Qian
Joyce Chai
Danai Koutra
LRM
34
1
0
07 Jun 2024
Parameter-Efficient Tuning Large Language Models for Graph
  Representation Learning
Parameter-Efficient Tuning Large Language Models for Graph Representation Learning
Qi Zhu
Da Zheng
Xiang Song
Shichang Zhang
Bowen Jin
Yizhou Sun
George Karypis
44
1
0
28 Apr 2024
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
26
23
0
23 Apr 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
21
37
0
20 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
25
1
0
18 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
14
7
0
04 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
54
25
0
03 Feb 2024
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
24
136
0
05 Dec 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
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
30
54
0
21 Nov 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
8
93
0
06 Oct 2023
TouchUp-G: Improving Feature Representation through Graph-Centric Finetuning
TouchUp-G: Improving Feature Representation through Graph-Centric Finetuning
Jing Zhu
Xiang Song
V. Ioannidis
Danai Koutra
Christos Faloutsos
54
13
0
25 Sep 2023
When Large Language Models Meet Citation: A Survey
When Large Language Models Meet Citation: A Survey
Yang Zhang
Yufei Wang
Kai Wang
Quan Z. Sheng
Lina Yao
A. Mahmood
Wei Emma Zhang
Rongying Zhao
45
7
0
18 Sep 2023
Weakly Supervised Multi-Label Classification of Full-Text Scientific
  Papers
Weakly Supervised Multi-Label Classification of Full-Text Scientific Papers
Yu Zhang
Bowen Jin
Xiusi Chen
Yan-Jun Shen
Yunyi Zhang
Yu Meng
Jiawei Han
33
13
0
24 Jun 2023
Heterformer: Transformer-based Deep Node Representation Learning on
  Heterogeneous Text-Rich Networks
Heterformer: Transformer-based Deep Node Representation Learning on Heterogeneous Text-Rich Networks
Bowen Jin
Yu Zhang
Qi Zhu
Jiawei Han
82
40
0
20 May 2022
COCO-LM: Correcting and Contrasting Text Sequences for Language Model
  Pretraining
COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining
Yu Meng
Chenyan Xiong
Payal Bajaj
Saurabh Tiwary
Paul N. Bennett
Jiawei Han
Xia Song
125
202
0
16 Feb 2021
1