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One for All: Towards Training One Graph Model for All Classification
  Tasks

One for All: Towards Training One Graph Model for All Classification Tasks

29 September 2023
Hao Liu
Jiarui Feng
Lecheng Kong
Ningyue Liang
Dacheng Tao
Yixin Chen
Muhan Zhang
    AI4CE
ArXivPDFHTML

Papers citing "One for All: Towards Training One Graph Model for All Classification Tasks"

50 / 78 papers shown
Title
Relation-Aware Graph Foundation Model
Relation-Aware Graph Foundation Model
Jianxiang Yu
Jiapeng Zhu
Hao Qian
Ziqi Liu
Zhiqiang Zhang
Xiang Li
27
0
0
17 May 2025
Griffin: Towards a Graph-Centric Relational Database Foundation Model
Griffin: Towards a Graph-Centric Relational Database Foundation Model
Yanbo Wang
Xiyuan Wang
Quan Gan
Minjie Wang
Qibin Yang
David Wipf
Muhan Zhang
195
0
0
08 May 2025
GraphPrompter: Multi-stage Adaptive Prompt Optimization for Graph In-Context Learning
GraphPrompter: Multi-stage Adaptive Prompt Optimization for Graph In-Context Learning
Rui Lv
Zhenru Zhang
Kai Zhang
Qi Liu
Weibo Gao
Jing Liu
Jiaxia Yan
Linan Yue
Fangzhou Yao
235
0
0
04 May 2025
Wide & Deep Learning for Node Classification
Wide & Deep Learning for Node Classification
Yancheng Chen
Wenguo Yang
Zhipeng Jiang
GNN
43
0
0
04 May 2025
Federated Prototype Graph Learning
Federated Prototype Graph Learning
Zhengyu Wu
Xunkai Li
Bo Li
Rong-Hua Li
Guoren Wang
Chenghu Zhou
FedML
48
0
0
13 Apr 2025
NetTAG: A Multimodal RTL-and-Layout-Aligned Netlist Foundation Model via Text-Attributed Graph
NetTAG: A Multimodal RTL-and-Layout-Aligned Netlist Foundation Model via Text-Attributed Graph
Wenji Fang
Wenkai Li
Shang Liu
Yao Lu
Hongce Zhang
Zhiyao Xie
37
1
0
12 Apr 2025
A Survey of Cross-domain Graph Learning: Progress and Future Directions
Haihong Zhao
Chenyi Zi
Aochuan Chen
Jia Li
81
0
0
14 Mar 2025
GNNs as Predictors of Agentic Workflow Performances
Wenjie Qu
Yuchen Hou
Bohan Tang
Shuo Chen
Muhan Zhang
Xiaowen Dong
Tian Jin
LLMAG
AI4CE
70
0
0
14 Mar 2025
TacticExpert: Spatial-Temporal Graph Language Model for Basketball Tactics
Xu Lingrui
Liu Mandi
Zhang Lei
51
0
0
13 Mar 2025
Exploring the Potential of Large Language Models as Predictors in Dynamic Text-Attributed Graphs
Runlin Lei
Jiarui Ji
Haipeng Ding
Lu Yi
Zhewei Wei
Yongchao Liu
Chuntao Hong
AI4CE
55
0
0
05 Mar 2025
HeTGB: A Comprehensive Benchmark for Heterophilic Text-Attributed Graphs
Shujie Li
Yuxia Wu
Chuan Shi
Yuan Fang
49
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
69
2
0
05 Mar 2025
G-OSR: A Comprehensive Benchmark for Graph Open-Set Recognition
Yicong Dong
Rundong He
Guangyao Chen
Wentao Zhang
Zhongyi Han
Jieming Shi
Yilong Yin
53
0
0
01 Mar 2025
Exploring Graph Tasks with Pure LLMs: A Comprehensive Benchmark and Investigation
Exploring Graph Tasks with Pure LLMs: A Comprehensive Benchmark and Investigation
Yansen Wang
Xinnan Dai
Wenqi Fan
Yao Ma
81
1
0
26 Feb 2025
BioMaze: Benchmarking and Enhancing Large Language Models for Biological Pathway Reasoning
BioMaze: Benchmarking and Enhancing Large Language Models for Biological Pathway Reasoning
Haiteng Zhao
Chang Ma
FangZhi Xu
Lingpeng Kong
Zhi-Hong Deng
LRM
55
2
0
23 Feb 2025
G-Refer: Graph Retrieval-Augmented Large Language Model for Explainable Recommendation
G-Refer: Graph Retrieval-Augmented Large Language Model for Explainable Recommendation
Yuhan Li
Xinni Zhang
Linhao Luo
Heng Chang
Yuxiang Ren
Irwin King
Jiajian Li
65
4
0
18 Feb 2025
USPilot: An Embodied Robotic Assistant Ultrasound System with Large Language Model Enhanced Graph Planner
USPilot: An Embodied Robotic Assistant Ultrasound System with Large Language Model Enhanced Graph Planner
Mingcong Chen
Siqi Fan
Guanglin Cao
Hongbin Liu
55
0
0
18 Feb 2025
Towards Foundation Models on Graphs: An Analysis on Cross-Dataset
  Transfer of Pretrained GNNs
Towards Foundation Models on Graphs: An Analysis on Cross-Dataset Transfer of Pretrained GNNs
Fabrizio Frasca
Fabian Jogl
Moshe Eliasof
Matan Ostrovsky
Carola-Bibiane Schönlieb
Thomas Gärtner
Haggai Maron
AI4CE
52
2
0
23 Dec 2024
Towards Graph Foundation Models: Learning Generalities Across Graphs via Task-Trees
Towards Graph Foundation Models: Learning Generalities Across Graphs via Task-Trees
Zehong Wang
Zheyuan Zhang
Tianyi Ma
Nitesh Chawla
Chuxu Zhang
Yanfang Ye
AI4CE
89
1
0
21 Dec 2024
Towards Graph Foundation Models: A Study on the Generalization of Positional and Structural Encodings
Towards Graph Foundation Models: A Study on the Generalization of Positional and Structural Encodings
Billy Joe Franks
Moshe Eliasof
Semih Cantürk
Guy Wolf
Carola-Bibiane Schönlieb
Sophie Fellenz
Marius Kloft
AI4CE
95
1
0
10 Dec 2024
One Model for One Graph: A New Perspective for Pretraining with Cross-domain Graphs
J. Liu
Haitao Mao
Zhikai Chen
Wenqi Fan
Mingxuan Ju
Tong Zhao
Neil Shah
Jiliang Tang
AI4CE
87
1
0
30 Nov 2024
Instance-Aware Graph Prompt Learning
Instance-Aware Graph Prompt Learning
Jiazheng Li
Jundong Li
Chuxu Zhang
VLM
84
2
0
26 Nov 2024
UniGAD: Unifying Multi-level Graph Anomaly Detection
UniGAD: Unifying Multi-level Graph Anomaly Detection
Yiqing Lin
Jianheng Tang
Chenyi Zi
Haihong Zhao
Yuan Yao
Jia Li
41
1
0
10 Nov 2024
GFT: Graph Foundation Model with Transferable Tree Vocabulary
GFT: Graph Foundation Model with Transferable Tree Vocabulary
Zehong Wang
Zheyuan Zhang
Nitesh Chawla
Chuxu Zhang
Yanfang Ye
57
11
0
09 Nov 2024
Beyond Grid Data: Exploring Graph Neural Networks for Earth Observation
Beyond Grid Data: Exploring Graph Neural Networks for Earth Observation
Shan Zhao
Zhaiyu Chen
Zhitong Xiong
Yilei Shi
Sudipan Saha
Xiao Xiang Zhu
AI4CE
53
3
0
05 Nov 2024
Reliable and Compact Graph Fine-tuning via GraphSparse Prompting
Reliable and Compact Graph Fine-tuning via GraphSparse Prompting
Bo Jiang
Hao Wu
Beibei Wang
Jin Tang
Bin Luo
38
0
0
29 Oct 2024
A Hierarchical Language Model For Interpretable Graph Reasoning
A Hierarchical Language Model For Interpretable Graph Reasoning
Sambhav Khurana
Xiner Li
Shurui Gui
Shuiwang Ji
LRM
41
0
0
29 Oct 2024
LangGFM: A Large Language Model Alone Can be a Powerful Graph Foundation
  Model
LangGFM: A Large Language Model Alone Can be a Powerful Graph Foundation Model
Tianqianjin Lin
Pengwei Yan
Kaisong Song
Zhuoren Jiang
Yangyang Kang
Jun Lin
Weikang Yuan
Junjie Cao
Changlong Sun
Wei Lu
AI4CE
45
0
0
19 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
43
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
68
8
0
14 Oct 2024
LightRAG: Simple and Fast Retrieval-Augmented Generation
LightRAG: Simple and Fast Retrieval-Augmented Generation
Zirui Guo
Lianghao Xia
Yanhua Yu
Tu Ao
Chao Huang
62
14
0
08 Oct 2024
GUNDAM: Aligning Large Language Models with Graph Understanding
GUNDAM: Aligning Large Language Models with Graph Understanding
Sheng Ouyang
Yulan Hu
Ge Chen
Yong Liu
AI4CE
42
3
0
30 Sep 2024
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
30
8
0
25 Aug 2024
AnyGraph: Graph Foundation Model in the Wild
AnyGraph: Graph Foundation Model in the Wild
Lianghao Xia
Chao Huang
OOD
44
11
0
20 Aug 2024
Can Large Language Models Improve the Adversarial Robustness of Graph
  Neural Networks?
Can Large Language Models Improve the Adversarial Robustness of Graph Neural Networks?
Zhongjian Zhang
Xiao Wang
Huichi Zhou
Yue Yu
Mengmei Zhang
Cheng Yang
Chuan Shi
AAML
48
7
0
16 Aug 2024
Boosting Graph Foundation Model from Structural Perspective
Boosting Graph Foundation Model from Structural Perspective
Yao Cheng
Yige Zhao
Jianxiang Yu
Xiang Li
31
4
0
29 Jul 2024
Enhancing Graph Neural Networks with Limited Labeled Data by Actively
  Distilling Knowledge from Large Language Models
Enhancing Graph Neural Networks with Limited Labeled Data by Actively Distilling Knowledge from Large Language Models
Quan Li
Tianxiang Zhao
Lingwei Chen
Junjie Xu
Suhang Wang
AI4CE
54
1
0
19 Jul 2024
GOFA: A Generative One-For-All Model for Joint Graph Language Modeling
GOFA: A Generative One-For-All Model for Joint Graph Language Modeling
Lecheng Kong
Jiarui Feng
Hao Liu
Chengsong Huang
Jiaxin Huang
Yixin Chen
Muhan Zhang
AI4CE
77
8
0
12 Jul 2024
STAGE: Simplified Text-Attributed Graph Embeddings Using Pre-trained
  LLMs
STAGE: Simplified Text-Attributed Graph Embeddings Using Pre-trained LLMs
Aaron Zolnai-Lucas
Jack Boylan
Chris Hokamp
Parsa Ghaffari
47
2
0
10 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
57
13
0
10 Jul 2024
AI-driven multi-omics integration for multi-scale predictive modeling of
  causal genotype-environment-phenotype relationships
AI-driven multi-omics integration for multi-scale predictive modeling of causal genotype-environment-phenotype relationships
You Wu
Lei Xie
AI4CE
28
10
0
08 Jul 2024
TAGLAS: An atlas of text-attributed graph datasets in the era of large
  graph and language models
TAGLAS: An atlas of text-attributed graph datasets in the era of large graph and language models
Jiarui Feng
Hao Liu
Lecheng Kong
Yixin Chen
Muhan Zhang
45
2
0
20 Jun 2024
HIGHT: Hierarchical Graph Tokenization for Graph-Language Alignment
HIGHT: Hierarchical Graph Tokenization for Graph-Language Alignment
Yongqiang Chen
Quanming Yao
Juzheng Zhang
James Cheng
Yatao Bian
41
4
0
20 Jun 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
60
4
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
52
3
0
19 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
47
10
0
15 Jun 2024
A Unified Graph Selective Prompt Learning for Graph Neural Networks
A Unified Graph Selective Prompt Learning for Graph Neural Networks
Bo Jiang
Hao Wu
Ziyan Zhang
Beibei Wang
Jin Tang
55
1
0
15 Jun 2024
GraphAlign: Pretraining One Graph Neural Network on Multiple Graphs via
  Feature Alignment
GraphAlign: Pretraining One Graph Neural Network on Multiple Graphs via Feature Alignment
Zhenyu Hou
Haozhan Li
Yukuo Cen
Jie Tang
Yuxiao Dong
36
6
0
05 Jun 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
52
0
0
28 May 2024
ARC: A Generalist Graph Anomaly Detector with In-Context Learning
ARC: A Generalist Graph Anomaly Detector with In-Context Learning
Yixin Liu
Shiyuan Li
Yu Zheng
Qingfeng Chen
Chengqi Zhang
Shirui Pan
48
11
0
27 May 2024
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