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Integrating Structural and Semantic Signals in Text-Attributed Graphs with BiGTex
v1v2 (latest)

Integrating Structural and Semantic Signals in Text-Attributed Graphs with BiGTex

16 April 2025
Azadeh Beiranvand
Seyed Mehdi Vahidipour
ArXiv (abs)PDFHTML

Papers citing "Integrating Structural and Semantic Signals in Text-Attributed Graphs with BiGTex"

33 / 33 papers shown
Title
LLMs as Zero-shot Graph Learners: Alignment of GNN Representations with
  LLM Token Embeddings
LLMs as Zero-shot Graph Learners: Alignment of GNN Representations with LLM Token Embeddings
Duo Wang
Yuan Zuo
Fengzhi Li
Junjie Wu
64
19
0
25 Aug 2024
GAugLLM: Improving Graph Contrastive Learning for Text-Attributed Graphs
  with Large Language Models
GAugLLM: Improving Graph Contrastive Learning for Text-Attributed Graphs with Large Language Models
Yi Fang
Dongzhe Fan
Daochen Zha
Qiaoyu Tan
102
12
0
17 Jun 2024
A Survey of Large Language Models for Graphs
A Survey of Large Language Models for Graphs
Xubin Ren
Jiabin Tang
Dawei Yin
Nitesh Chawla
Chao Huang
74
46
0
10 May 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
101
12
0
02 Mar 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
114
29
0
25 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
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
82
35
0
13 Feb 2024
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
129
146
0
19 Oct 2023
Label Deconvolution for Node Representation Learning on Large-scale Attributed Graphs against Learning Bias
Label Deconvolution for Node Representation Learning on Large-scale Attributed Graphs against Learning Bias
Zhihao Shi
Jie Wang
Fanghua Lu
Hanzhu Chen
Defu Lian
Zheng Wang
Jieping Ye
Feng Wu
AI4CE
74
6
0
26 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
135
170
0
14 Aug 2023
SimTeG: A Frustratingly Simple Approach Improves Textual Graph Learning
SimTeG: A Frustratingly Simple Approach Improves Textual Graph Learning
Keyu Duan
Qian Liu
Tat-Seng Chua
Shuicheng Yan
Wei Tsang Ooi
Qizhe Xie
Junxian He
114
60
0
03 Aug 2023
Exploring the Potential of Large Language Models (LLMs) in Learning on
  Graphs
Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs
Zhikai Chen
Haitao Mao
Hang Li
Wei Jin
Haifang Wen
...
Shuaiqiang Wang
Dawei Yin
Wenqi Fan
Hui Liu
Jiliang Tang
AI4CE
128
286
0
07 Jul 2023
Harnessing Explanations: LLM-to-LM Interpreter for Enhanced
  Text-Attributed Graph Representation Learning
Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning
Xiaoxin He
Xavier Bresson
T. Laurent
Adam Perold
Yann LeCun
Bryan Hooi
105
82
0
31 May 2023
GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule
  Zero-Shot Learning
GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule Zero-Shot Learning
Haiteng Zhao
Shengchao Liu
Chang Ma
Hannan Xu
Jie Fu
Zhihong Deng
Lingpeng Kong
Qi Liu
77
64
0
28 May 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
71
167
0
24 May 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
ReLMLRM
95
199
0
17 May 2023
Train Your Own GNN Teacher: Graph-Aware Distillation on Textual Graphs
Train Your Own GNN Teacher: Graph-Aware Distillation on Textual Graphs
Costas Mavromatis
V. Ioannidis
Shen Wang
Da Zheng
Soji Adeshina
Jun Ma
Han Zhao
Christos Faloutsos
George Karypis
64
31
0
20 Apr 2023
Constitutional AI: Harmlessness from AI Feedback
Constitutional AI: Harmlessness from AI Feedback
Yuntao Bai
Saurav Kadavath
Sandipan Kundu
Amanda Askell
John Kernion
...
Dario Amodei
Nicholas Joseph
Sam McCandlish
Tom B. Brown
Jared Kaplan
SyDaMoMe
214
1,646
0
15 Dec 2022
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
103
142
0
26 Oct 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
226
140
0
29 Oct 2021
LoRA: Low-Rank Adaptation of Large Language Models
LoRA: Low-Rank Adaptation of Large Language Models
J. E. Hu
Yelong Shen
Phillip Wallis
Zeyuan Allen-Zhu
Yuanzhi Li
Shean Wang
Lu Wang
Weizhu Chen
OffRLAI4TSAI4CEALMAIMat
502
10,526
0
17 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
59
159
0
06 May 2021
Adaptive Graph Diffusion Networks
Adaptive Graph Diffusion Networks
Chuxiong Sun
Jie Hu
Hongming Gu
Jinpeng Chen
Mingchuan Yang
GNNDiffMAI4CE
78
12
0
30 Dec 2020
Language Models are Few-Shot Learners
Language Models are Few-Shot Learners
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
...
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
BDL
889
42,463
0
28 May 2020
Open Graph Benchmark: Datasets for Machine Learning on Graphs
Open Graph Benchmark: Datasets for Machine Learning on Graphs
Weihua Hu
Matthias Fey
Marinka Zitnik
Yuxiao Dong
Hongyu Ren
Bowen Liu
Michele Catasta
J. Leskovec
311
2,752
0
02 May 2020
GraphSAINT: Graph Sampling Based Inductive Learning Method
GraphSAINT: Graph Sampling Based Inductive Learning Method
Hanqing Zeng
Hongkuan Zhou
Ajitesh Srivastava
Rajgopal Kannan
Viktor Prasanna
GNN
137
969
0
10 Jul 2019
Parameter-Efficient Transfer Learning for NLP
Parameter-Efficient Transfer Learning for NLP
N. Houlsby
A. Giurgiu
Stanislaw Jastrzebski
Bruna Morrone
Quentin de Laroussilhe
Andrea Gesmundo
Mona Attariyan
Sylvain Gelly
223
4,529
0
02 Feb 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLMSSLSSeg
1.8K
95,229
0
11 Oct 2018
Graph Attention Networks
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
484
20,265
0
30 Oct 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
805
132,725
0
12 Jun 2017
Inductive Representation Learning on Large Graphs
Inductive Representation Learning on Large Graphs
William L. Hamilton
Z. Ying
J. Leskovec
516
15,369
0
07 Jun 2017
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNNSSL
679
29,183
0
09 Sep 2016
Revisiting Semi-Supervised Learning with Graph Embeddings
Revisiting Semi-Supervised Learning with Graph Embeddings
Zhilin Yang
William W. Cohen
Ruslan Salakhutdinov
GNNSSL
174
2,106
0
29 Mar 2016
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