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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

15 October 2024
Guangxin Su
Yifan Zhu
Wenjie Zhang
Hanchen Wang
Ying Zhang
ArXiv (abs)PDFHTML

Papers citing "Bridging Large Language Models and Graph Structure Learning Models for Robust Representation Learning"

23 / 23 papers shown
Title
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
115
24
0
23 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
61
44
0
20 Feb 2024
Curriculum Learning for Graph Neural Networks: Which Edges Should We
  Learn First
Curriculum Learning for Graph Neural Networks: Which Edges Should We Learn First
Zhengwu Zhang
Junxiang Wang
Liang Zhao
59
13
0
28 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
169
80
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
87
132
0
29 Sep 2023
Language is All a Graph Needs
Language is All a Graph Needs
Ruosong Ye
Caiqi Zhang
Runhui Wang
Shuyuan Xu
Yongfeng Zhang
AI4CE
120
170
0
14 Aug 2023
OpenGSL: A Comprehensive Benchmark for Graph Structure Learning
OpenGSL: A Comprehensive Benchmark for Graph Structure Learning
Zhiyao Zhou
Sheng Zhou
Bochao Mao
Xu Zhou
Jiawei Chen
Qiaoyu Tan
Daochen Zha
Yan Feng
Chun-Yen Chen
C. Wang
105
24
0
17 Jun 2023
GPT4Graph: Can Large Language Models Understand Graph Structured Data ?
  An Empirical Evaluation and Benchmarking
GPT4Graph: Can Large Language Models Understand Graph Structured Data ? An Empirical Evaluation and Benchmarking
Jiayan Guo
Lun Du
Hengyu Liu
Mengyu Zhou
Xinyi He
Shi Han
AI4MH
69
167
0
24 May 2023
Learning on Large-scale Text-attributed Graphs via Variational Inference
Learning on Large-scale Text-attributed Graphs via Variational Inference
Jianan Zhao
Meng Qu
Chaozhuo Li
Hao Yan
Qian Liu
Rui Li
Xing Xie
Jian Tang
VLM
99
142
0
26 Oct 2022
A Survey on Graph Neural Networks and Graph Transformers in Computer
  Vision: A Task-Oriented Perspective
A Survey on Graph Neural Networks and Graph Transformers in Computer Vision: A Task-Oriented Perspective
Chaoqi Chen
Yushuang Wu
Qiyuan Dai
Hong-Yu Zhou
Mutian Xu
Sibei Yang
Xiaoguang Han
Yizhou Yu
ViTMedImAI4CE
129
77
0
27 Sep 2022
Protein Representation Learning by Geometric Structure Pretraining
Protein Representation Learning by Geometric Structure Pretraining
Zuobai Zhang
Minghao Xu
Arian R. Jamasb
Vijil Chenthamarakshan
A. Lozano
Payel Das
Jian Tang
SSL
59
232
0
11 Mar 2022
Training language models to follow instructions with human feedback
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLMALM
886
13,176
0
04 Mar 2022
Training Graph Neural Networks with 1000 Layers
Training Graph Neural Networks with 1000 Layers
Guohao Li
Matthias Muller
Guohao Li
V. Koltun
GNNAI4CE
86
241
0
14 Jun 2021
GraphFormers: GNN-nested Transformers for Representation Learning on
  Textual Graph
GraphFormers: GNN-nested Transformers for Representation Learning on Textual Graph
Junhan Yang
Zheng Liu
Shitao Xiao
Chaozhuo Li
Defu Lian
Sanjay Agrawal
Amit Singh
Guangzhong Sun
Xing Xie
AI4CE
54
159
0
06 May 2021
SLAPS: Self-Supervision Improves Structure Learning for Graph Neural
  Networks
SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks
Bahare Fatemi
Layla El Asri
Seyed Mehran Kazemi
GNNSSL
106
165
0
09 Feb 2021
DeBERTa: Decoding-enhanced BERT with Disentangled Attention
DeBERTa: Decoding-enhanced BERT with Disentangled Attention
Pengcheng He
Xiaodong Liu
Jianfeng Gao
Weizhu Chen
AAML
165
2,750
0
05 Jun 2020
Graph Structure Learning for Robust Graph Neural Networks
Graph Structure Learning for Robust Graph Neural Networks
Wei Jin
Yao Ma
Xiaorui Liu
Xianfeng Tang
Suhang Wang
Jiliang Tang
OODAAML
84
707
0
20 May 2020
Graph Transformer Networks
Graph Transformer Networks
Seongjun Yun
Minbyul Jeong
Raehyun Kim
Jaewoo Kang
Hyunwoo J. Kim
133
980
0
06 Nov 2019
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
Nils Reimers
Iryna Gurevych
1.3K
12,301
0
27 Aug 2019
How Powerful are Graph Neural Networks?
How Powerful are Graph Neural Networks?
Keyulu Xu
Weihua Hu
J. Leskovec
Stefanie Jegelka
GNN
257
7,695
0
01 Oct 2018
Graph Attention Networks
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
481
20,233
0
30 Oct 2017
Inductive Representation Learning on Large Graphs
Inductive Representation Learning on Large Graphs
William L. Hamilton
Z. Ying
J. Leskovec
514
15,319
0
07 Jun 2017
Distributed Representations of Words and Phrases and their
  Compositionality
Distributed Representations of Words and Phrases and their Compositionality
Tomas Mikolov
Ilya Sutskever
Kai Chen
G. Corrado
J. Dean
NAIOCL
402
33,560
0
16 Oct 2013
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