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Learning on Large-scale Text-attributed Graphs via Variational Inference

Learning on Large-scale Text-attributed Graphs via Variational Inference

26 October 2022
Jianan Zhao
Meng Qu
Chaozhuo Li
Hao Yan
Qian Liu
Rui Li
Xing Xie
Jian Tang
    VLM
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Papers citing "Learning on Large-scale Text-attributed Graphs via Variational Inference"

50 / 83 papers shown
Title
Direct Retrieval-augmented Optimization: Synergizing Knowledge Selection and Language Models
Direct Retrieval-augmented Optimization: Synergizing Knowledge Selection and Language Models
Zhengliang Shi
Lingyong Yan
Weiwei Sun
Yue Feng
Pengjie Ren
Xinyu Ma
Shuaiqiang Wang
D. Yin
Maarten de Rijke
Z. Ren
RALM
43
0
0
05 May 2025
Attention Mechanisms Perspective: Exploring LLM Processing of Graph-Structured Data
Attention Mechanisms Perspective: Exploring LLM Processing of Graph-Structured Data
Zhong Guan
Likang Wu
Hongke Zhao
Ming He
Jianpin Fan
GNN
32
0
0
04 May 2025
Integrating Structural and Semantic Signals in Text-Attributed Graphs with BiGTex
Integrating Structural and Semantic Signals in Text-Attributed Graphs with BiGTex
Azadeh Beiranvand
Seyed Mehdi Vahidipour
32
0
0
16 Apr 2025
GraphRAFT: Retrieval Augmented Fine-Tuning for Knowledge Graphs on Graph Databases
GraphRAFT: Retrieval Augmented Fine-Tuning for Knowledge Graphs on Graph Databases
Alfred Clemedtson
Borun Shi
RALM
61
0
0
07 Apr 2025
Toward General and Robust LLM-enhanced Text-attributed Graph Learning
Toward General and Robust LLM-enhanced Text-attributed Graph Learning
Zihao Zhang
Xunkai Li
R. Li
Bing Zhou
Zhenjun Li
Guoren Wang
39
0
0
03 Apr 2025
Refining Interactions: Enhancing Anisotropy in Graph Neural Networks with Language Semantics
Refining Interactions: Enhancing Anisotropy in Graph Neural Networks with Language Semantics
Zhaoxing Li
Xiaoming Zhang
Haifeng Zhang
Chengxiang Liu
34
0
0
02 Apr 2025
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
HeTGB: A Comprehensive Benchmark for Heterophilic Text-Attributed Graphs
Shujie Li
Yuxia Wu
Chuan Shi
Yuan Fang
39
0
0
05 Mar 2025
LLM as GNN: Graph Vocabulary Learning for Text-Attributed Graph Foundation Models
Xi Zhu
Haochen Xue
Ziwei Zhao
Wujiang Xu
Jingyuan Huang
Minghao Guo
Qifan Wang
Kaixiong Zhou
Yongfeng Zhang
53
1
0
05 Mar 2025
Hypergraph Foundation Model
Yifan Feng
Shiquan Liu
Xiangmin Han
Shaoyi Du
Zongze Wu
Han Hu
Yue Gao
AI4CE
36
0
0
03 Mar 2025
Scale-Free Graph-Language Models
Scale-Free Graph-Language Models
Jianglin Lu
Yixuan Liu
Yitian Zhang
Y. Fu
63
1
0
24 Feb 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
79
0
26 Dec 2024
Multi-Scale Heterogeneous Text-Attributed Graph Datasets From Diverse
  Domains
Multi-Scale Heterogeneous Text-Attributed Graph Datasets From Diverse Domains
Yunhui Liu
Qizhuo Xie
Jinwei Shi
Jiaxu Shen
Tieke He
72
0
0
12 Dec 2024
Can Large Language Models Act as Ensembler for Multi-GNNs?
Can Large Language Models Act as Ensembler for Multi-GNNs?
Hanqi Duan
Yao Cheng
Jianxiang Yu
Xiang Li
AI4CE
35
0
0
22 Oct 2024
TAGExplainer: Narrating Graph Explanations for Text-Attributed Graph
  Learning Models
TAGExplainer: Narrating Graph Explanations for Text-Attributed Graph Learning Models
Bo Pan
Zhen Xiong
Guanchen Wu
Zheng Zhang
Yifei Zhang
Liang Zhao
FAtt
31
1
0
20 Oct 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
GraphCLIP: Enhancing Transferability in Graph Foundation Models for Text-Attributed Graphs
GraphCLIP: Enhancing Transferability in Graph Foundation Models for Text-Attributed Graphs
Yun Zhu
Haizhou Shi
Xiaotang Wang
Yongchao Liu
Yaoke Wang
Boci Peng
Chuntao Hong
Siliang Tang
VLM
43
6
0
14 Oct 2024
When Graph meets Multimodal: Benchmarking and Meditating on Multimodal Attributed Graphs Learning
When Graph meets Multimodal: Benchmarking and Meditating on Multimodal Attributed Graphs Learning
Hao Yan
C. Li
Zhigang Yu
Jun Yin
Ruochen Liu
Peiyan Zhang
Weihao Han
Mingzheng Li
Zhengxin Zeng
24
0
0
11 Oct 2024
LATEX-GCL: Large Language Models (LLMs)-Based Data Augmentation for
  Text-Attributed Graph Contrastive Learning
LATEX-GCL: Large Language Models (LLMs)-Based Data Augmentation for Text-Attributed Graph Contrastive Learning
Haoran Yang
Xiangyu Zhao
Sirui Huang
Qing Li
Guandong Xu
39
4
0
02 Sep 2024
Hound: Hunting Supervision Signals for Few and Zero Shot Node
  Classification on Text-attributed Graph
Hound: Hunting Supervision Signals for Few and Zero Shot Node Classification on Text-attributed Graph
Yuxiang Wang
Xiao Yan
Shiyu Jin
Quanqing Xu
Chuanhui Yang
Yuanyuan Zhu
Chuang Hu
Bo Du
Jiawei Jiang
VLM
41
0
0
01 Sep 2024
Path-LLM: A Shortest-Path-based LLM Learning for Unified Graph
  Representation
Path-LLM: A Shortest-Path-based LLM Learning for Unified Graph Representation
Wenbo Shang
Xuliang Zhu
Xin Huang
37
3
0
10 Aug 2024
Node Level Graph Autoencoder: Unified Pretraining for Textual Graph
  Learning
Node Level Graph Autoencoder: Unified Pretraining for Textual Graph Learning
Wenbin Hu
Huihao Jing
Qi Hu
Haoran Li
Yangqiu Song
SSL
AI4CE
24
0
0
09 Aug 2024
Pre-Training and Prompting for Few-Shot Node Classification on
  Text-Attributed Graphs
Pre-Training and Prompting for Few-Shot Node Classification on Text-Attributed Graphs
Huan-jing Zhao
Beining Yang
Yukuo Cen
Junyu Ren
Chenhui Zhang
Yuxiao Dong
Evgeny Kharlamov
Shu Zhao
Jie Tang
VLM
49
7
0
22 Jul 2024
Learning on Graphs with Large Language Models(LLMs): A Deep Dive into
  Model Robustness
Learning on Graphs with Large Language Models(LLMs): A Deep Dive into Model Robustness
Kai Guo
Zewen Liu
Zhikai Chen
Hongzhi Wen
Wei Jin
Jiliang Tang
Yi Chang
AAML
32
4
0
16 Jul 2024
Improving Graph Out-of-distribution Generalization on Real-world Data
Improving Graph Out-of-distribution Generalization on Real-world Data
Can Xu
Yao Cheng
Jianxiang Yu
Haosen Wang
Jingsong Lv
Xiang Li
OOD
29
0
0
14 Jul 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
Revisiting Random Walks for Learning on Graphs
Revisiting Random Walks for Learning on Graphs
Jinwoo Kim
Olga Zaghen
Ayhan Suleymanzade
Youngmin Ryou
Seunghoon Hong
54
0
0
01 Jul 2024
A Pure Transformer Pretraining Framework on Text-attributed Graphs
A Pure Transformer Pretraining Framework on Text-attributed Graphs
Yu Song
Haitao Mao
Jiachen Xiao
Jingzhe Liu
Zhikai Chen
Wei Jin
Carl Yang
Jiliang Tang
Hui Liu
AI4CE
40
4
0
19 Jun 2024
LangTopo: Aligning Language Descriptions of Graphs with Tokenized
  Topological Modeling
LangTopo: Aligning Language Descriptions of Graphs with Tokenized Topological Modeling
Zhong Guan
Hongke Zhao
Likang Wu
Ming He
Jianpin Fan
32
3
0
19 Jun 2024
Enhancing Collaborative Semantics of Language Model-Driven
  Recommendations via Graph-Aware Learning
Enhancing Collaborative Semantics of Language Model-Driven Recommendations via Graph-Aware Learning
Zhong Guan
Likang Wu
Hongke Zhao
Ming He
Jianpin Fan
40
3
0
19 Jun 2024
Bridging Local Details and Global Context in Text-Attributed Graphs
Bridging Local Details and Global Context in Text-Attributed Graphs
Yaoke Wang
Yun Zhu
Wenqiao Zhang
Yueting Zhuang
Yunfei Li
Siliang Tang
34
6
0
18 Jun 2024
UniGLM: Training One Unified Language Model for Text-Attributed Graphs
UniGLM: Training One Unified Language Model for Text-Attributed Graphs
Yi Fang
Dongzhe Fan
Sirui Ding
Ninghao Liu
Qiaoyu Tan
VLM
34
3
0
17 Jun 2024
Text-space Graph Foundation Models: Comprehensive Benchmarks and New
  Insights
Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights
Zhikai Chen
Haitao Mao
Jingzhe Liu
Yu Song
Bingheng Li
...
Bahare Fatemi
Anton Tsitsulin
Bryan Perozzi
Hui Liu
Jiliang Tang
25
10
0
15 Jun 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
GPT4Rec: Graph Prompt Tuning for Streaming Recommendation
GPT4Rec: Graph Prompt Tuning for Streaming Recommendation
Peiyan Zhang
Yuchen Yan
Xi Zhang
Liying Kang
Chaozhuo Li
Feiran Huang
Senzhang Wang
Sunghun Kim
33
7
0
12 Jun 2024
GraphStorm: all-in-one graph machine learning framework for industry
  applications
GraphStorm: all-in-one graph machine learning framework for industry applications
Da Zheng
Xiang Song
Qi Zhu
Jian Zhang
Theodore Vasiloudis
...
Qingjun Cui
Huzefa Rangwala
Belinda Zeng
Christos Faloutsos
George Karypis
AI4TS
AI4CE
VLM
32
4
0
10 Jun 2024
GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning
GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning
Costas Mavromatis
George Karypis
RALM
LRM
ReLM
54
51
0
30 May 2024
Unleashing the Potential of Text-attributed Graphs: Automatic Relation
  Decomposition via Large Language Models
Unleashing the Potential of Text-attributed Graphs: Automatic Relation Decomposition via Large Language Models
Hyunjin Seo
Taewon Kim
J. Yang
Eunho Yang
37
0
0
28 May 2024
Generalizing Knowledge Graph Embedding with Universal Orthogonal
  Parameterization
Generalizing Knowledge Graph Embedding with Universal Orthogonal Parameterization
Rui Li
Chaozhuo Li
Yanming Shen
Zeyu Zhang
Xu Chen
38
2
0
14 May 2024
A Survey of Large Language Models for Graphs
A Survey of Large Language Models for Graphs
Xubin Ren
Jiabin Tang
Dawei Yin
Nitesh V. Chawla
Chao Huang
28
30
0
10 May 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
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
27
9
0
23 Apr 2024
Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on
  Graphs
Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs
Bowen Jin
Chulin Xie
Jiawei Zhang
Kashob Kumar Roy
Yu Zhang
...
Ruirui Li
Xianfeng Tang
Suhang Wang
Yu Meng
Jiawei Han
LRM
RALM
53
37
0
10 Apr 2024
Revisiting Edge Perturbation for Graph Neural Network in Graph Data
  Augmentation and Attack
Revisiting Edge Perturbation for Graph Neural Network in Graph Data Augmentation and Attack
Xin Liu
Yuxiang Zhang
Meng Wu
Mingyu Yan
Kun He
Wei Yan
Shirui Pan
Xiaochun Ye
Dongrui Fan
AAML
25
2
0
10 Mar 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
Distilling Large Language Models for Text-Attributed Graph Learning
Distilling Large Language Models for Text-Attributed Graph Learning
Bo Pan
Zhengwu Zhang
Yifei Zhang
Yuntong Hu
Liang Zhao
30
13
0
19 Feb 2024
Can we Soft Prompt LLMs for Graph Learning Tasks?
Can we Soft Prompt LLMs for Graph Learning Tasks?
Zheyuan Liu
Xiaoxin He
Yijun Tian
Nitesh V. Chawla
47
21
0
15 Feb 2024
HyperBERT: Mixing Hypergraph-Aware Layers with Language Models for Node
  Classification on Text-Attributed Hypergraphs
HyperBERT: Mixing Hypergraph-Aware Layers with Language Models for Node Classification on Text-Attributed Hypergraphs
A. Bazaga
Pietro Lió
G. Micklem
18
2
0
11 Feb 2024
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