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ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs
v1v2 (latest)

ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs

17 February 2024
Yuhan Li
Peisong Wang
Zhixun Li
Jeffrey Xu Yu
Jia Li
ArXiv (abs)PDFHTMLGithub (29★)

Papers citing "ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs"

49 / 49 papers shown
GRAVER: Generative Graph Vocabularies for Robust Graph Foundation Models Fine-tuning
GRAVER: Generative Graph Vocabularies for Robust Graph Foundation Models Fine-tuning
Haonan Yuan
Qingyun Sun
Junhua Shi
Xingcheng Fu
Bryan Hooi
Jianxin Li
Philip S. Yu
VLM
296
7
0
05 Nov 2025
Empowering LLMs with Structural Role Inference for Zero-Shot Graph Learning
Empowering LLMs with Structural Role Inference for Zero-Shot Graph Learning
Heng Zhang
Jing Liu
J. Wu
Haochen You
Lubin Gan
...
Xiaodong Gu
Zijian Zhang
S. Chen
Wenjun Huang
J. Huang
AI4CE
306
1
0
02 Nov 2025
Large Language Models Meet Text-Attributed Graphs: A Survey of Integration Frameworks and Applications
Large Language Models Meet Text-Attributed Graphs: A Survey of Integration Frameworks and Applications
Guangxin Su
Hanchen Wang
Jianwei Wang
Wenjie Zhang
Ying Zhang
Jian Pei
352
2
0
24 Oct 2025
Learning Noise-Resilient and Transferable Graph-Text Alignment via Dynamic Quality Assessment
Learning Noise-Resilient and Transferable Graph-Text Alignment via Dynamic Quality Assessment
Yuhang Liu
Minglai Shao
Zengyi Wo
Yunlong Chu
Bing Hao
Shengzhong Liu
Ruijie Wang
Jianxin Li
198
0
0
22 Oct 2025
UniGTE: Unified Graph-Text Encoding for Zero-Shot Generalization across Graph Tasks and Domains
UniGTE: Unified Graph-Text Encoding for Zero-Shot Generalization across Graph Tasks and Domains
Duo Wang
Y. Zuo
Guangyue Lu
Junjie Wu
AI4CE
206
1
0
19 Oct 2025
H4G: Unlocking Faithful Inference for Zero-Shot Graph Learning in Hyperbolic Space
H4G: Unlocking Faithful Inference for Zero-Shot Graph Learning in Hyperbolic Space
Heng Zhang
Tianyi Zhang
Zijun Liu
Yuling Shi
Yaomin Shen
Haochen You
Haichuan Hu
Lubin Gan
Jin Huang
199
1
0
14 Oct 2025
GraphShaper: Geometry-aware Alignment for Improving Transfer Learning in Text-Attributed Graphs
GraphShaper: Geometry-aware Alignment for Improving Transfer Learning in Text-Attributed Graphs
Heng Zhang
Tianyi Zhang
Yuling Shi
Xiaodong Gu
Yaomin Shen
Haochen You
Zijian Zhang
Yilei Yuan
Jin Huang
188
0
0
14 Oct 2025
GILT: An LLM-Free, Tuning-Free Graph Foundational Model for In-Context Learning
GILT: An LLM-Free, Tuning-Free Graph Foundational Model for In-Context Learning
Weishuo Ma
Yanbo Wang
Xiyuan Wang
Lei Zou
Muhan Zhang
AI4CE
218
0
0
06 Oct 2025
One Prompt Fits All: Universal Graph Adaptation for Pretrained Models
One Prompt Fits All: Universal Graph Adaptation for Pretrained Models
Yongqi Huang
Jitao Zhao
Dongxiao He
Xiaobao Wang
Yawen Li
Yuxiao Huang
Di Jin
Zhiyong Feng
VLM
285
5
0
26 Sep 2025
GSTBench: A Benchmark Study on the Transferability of Graph Self-Supervised Learning
GSTBench: A Benchmark Study on the Transferability of Graph Self-Supervised Learning
Yu Song
Zhigang Hua
Yan Xie
Jingzhe Liu
Bo Long
Hui Liu
SSL
194
0
0
28 Aug 2025
Graph-R1: Incentivizing the Zero-Shot Graph Learning Capability in LLMs via Explicit Reasoning
Graph-R1: Incentivizing the Zero-Shot Graph Learning Capability in LLMs via Explicit Reasoning
Yicong Wu
Guangyue Lu
Yuan Zuo
Huarong Zhang
Junjie Wu
OffRLAI4CELRM
220
4
0
24 Aug 2025
From Nodes to Narratives: Explaining Graph Neural Networks with LLMs and Graph Context
From Nodes to Narratives: Explaining Graph Neural Networks with LLMs and Graph Context
Peyman Baghershahi
Gregoire Fournier
Pranav Nyati
Sourav Medya
MILM
267
6
0
09 Aug 2025
A Scalable Pretraining Framework for Link Prediction with Efficient Adaptation
A Scalable Pretraining Framework for Link Prediction with Efficient Adaptation
Yu Song
Zhigang Hua
Harry Shomer
Yan Xie
Jingzhe Liu
Bo Long
Hui Liu
AI4CE
153
2
0
06 Aug 2025
Quantizing Text-attributed Graphs for Semantic-Structural Integration
Quantizing Text-attributed Graphs for Semantic-Structural IntegrationKnowledge Discovery and Data Mining (KDD), 2025
Jianyuan Bo
Hao Wu
Yuan Fang
351
4
0
20 Jul 2025
Graph-KV: Breaking Sequence via Injecting Structural Biases into Large Language Models
Graph-KV: Breaking Sequence via Injecting Structural Biases into Large Language Models
Haoyu Wang
Peihao Wang
Mufei Li
Shikun Liu
Siqi Miao
Zinan Lin
P. Li
301
4
0
09 Jun 2025
Masked Language Models are Good Heterogeneous Graph Generalizers
Masked Language Models are Good Heterogeneous Graph Generalizers
Jinyu Yang
Cheng Yang
Shanyuan Cui
Zeyuan Guo
Liangwei Yang
Muhan Zhang
Chuan Shi
C. Shi
541
0
0
06 Jun 2025
MedSpaformer: a Transferable Transformer with Multi-granularity Token Sparsification for Medical Time Series Classification
MedSpaformer: a Transferable Transformer with Multi-granularity Token Sparsification for Medical Time Series Classification
Weiqi Zhang
Yongzi Yu
Hui Yuan
Jiajun Li
Fugee Tsung
MedIm
364
0
0
19 Mar 2025
A Survey of Cross-domain Graph Learning: Progress and Future Directions
A Survey of Cross-domain Graph Learning: Progress and Future Directions
Haihong Zhao
Chenyi Zi
Chenyi Zi
Aochuan Chen
Fugee Tsung
Jia Li
Jeffrey Xu Yu
481
1
0
14 Mar 2025
Towards Graph Foundation Models: A Transferability Perspective
Towards Graph Foundation Models: A Transferability Perspective
Longji Xu
Wenqi Fan
Suhang Wang
Yao Ma
306
7
0
13 Mar 2025
InversionGNN: A Dual Path Network for Multi-Property Molecular Optimization
InversionGNN: A Dual Path Network for Multi-Property Molecular OptimizationInternational Conference on Learning Representations (ICLR), 2025
Yifan Niu
Ziqi Gao
Qifeng Bai
Yang Liu
Yatao Bian
Yu Rong
Junzhou Huang
Jia Li
329
2
0
03 Mar 2025
Rewarding Graph Reasoning Process makes LLMs more Generalized Reasoners
Rewarding Graph Reasoning Process makes LLMs more Generalized Reasoners
Miao Peng
Polydoros Giannouris
Zongrui Suo
Jia Li
LRM
365
13
0
02 Mar 2025
Exploring Graph Learning Tasks with Pure LLMs: A Comprehensive Benchmark and Investigation
Exploring Graph Learning Tasks with Pure LLMs: A Comprehensive Benchmark and Investigation
Longji Xu
Xinnan Dai
Wenqi Fan
Yao Ma
470
9
0
26 Feb 2025
G-Refer: Graph Retrieval-Augmented Large Language Model for Explainable Recommendation
G-Refer: Graph Retrieval-Augmented Large Language Model for Explainable RecommendationThe Web Conference (WWW), 2025
Yuhan Li
Xinni Zhang
Linhao Luo
Heng Chang
Yuxiang Ren
Irwin King
Jiajian Li
304
45
0
18 Feb 2025
GRAPHGPT-O: Synergistic Multimodal Comprehension and Generation on Graphs
GRAPHGPT-O: Synergistic Multimodal Comprehension and Generation on GraphsComputer Vision and Pattern Recognition (CVPR), 2025
Yi Fang
Sara Szymkuć
Jiacheng Shen
Sirui Ding
Qiaoyu Tan
Jiawei Han
534
8
0
17 Feb 2025
IceBerg: Debiased Self-Training for Class-Imbalanced Node Classification
IceBerg: Debiased Self-Training for Class-Imbalanced Node ClassificationThe Web Conference (WWW), 2025
Zhixun Li
Dingshuo Chen
Tong Zhao
Ziyu Zhao
Hongrui Liu
Qing Cui
Jun Zhou
Jeffrey Xu Yu
SSL
439
7
0
10 Feb 2025
A Survey of Graph Retrieval-Augmented Generation for Customized Large Language Models
A Survey of Graph Retrieval-Augmented Generation for Customized Large Language Models
Qinggang Zhang
Shengyuan Chen
Yuanchen Bei
Zheng Yuan
Huachi Zhou
...
Hao-Heng Chen
Chuang Zhou
Yi-Ju Chang
Yi-Ju Chang
Xiao Huang
3DV
645
96
0
21 Jan 2025
GraphAgent: Agentic Graph Language Assistant
GraphAgent: Agentic Graph Language Assistant
Yuhao Yang
J. Tang
Lianghao Xia
Xingchen Zou
Yuxuan Liang
Chao Huang
LM&Ro
454
7
0
22 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
588
0
0
21 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
Neil Shah
Shucheng Zhou
AI4CE
807
12
0
30 Nov 2024
GFT: Graph Foundation Model with Transferable Tree Vocabulary
GFT: Graph Foundation Model with Transferable Tree VocabularyNeural Information Processing Systems (NeurIPS), 2024
Zehong Wang
Zheyuan Zhang
Nitesh Chawla
Chuxu Zhang
Yanfang Ye
379
66
0
09 Nov 2024
Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood Prompts
Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood PromptsInternational Joint Conference on Artificial Intelligence (IJCAI), 2024
Chaoxi Niu
Hezhe Qiao
Changlu Chen
Ling-Hao Chen
Guansong Pang
379
15
0
18 Oct 2024
Are You Using Reliable Graph Prompts? Trojan Prompt Attacks on Graph Neural Networks
Are You Using Reliable Graph Prompts? Trojan Prompt Attacks on Graph Neural Networks
Minhua Lin
Zhiwei Zhang
Enyan Dai
Zongyu Wu
Yilong Wang
Xiang Zhang
Suhang Wang
SILMAAML
229
1
0
17 Oct 2024
Enhance Graph Alignment for Large Language Models
Enhance Graph Alignment for Large Language Models
Haitong Luo
Xuying Meng
Suhang Wang
Tianxiang Zhao
Fali Wang
Hanyun Cao
Yujun Zhang
891
4
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 GraphsThe Web Conference (WWW), 2024
Yun Zhu
Haizhou Shi
Xiaotang Wang
Yongchao Liu
Yaoke Wang
Boci Peng
Chuntao Hong
Siliang Tang
VLM
708
52
0
14 Oct 2024
Neuro-Symbolic Entity Alignment via Variational Inference
Neuro-Symbolic Entity Alignment via Variational Inference
Shengyuan Chen
Qinggang Zhang
Hao-Heng Chen
Wen Hua
Jiannong Cao
Xiao Huang
426
10
0
05 Oct 2024
T3: A Novel Zero-shot Transfer Learning Framework Iteratively Training on an Assistant Task for a Target Task
T3: A Novel Zero-shot Transfer Learning Framework Iteratively Training on an Assistant Task for a Target TaskInternational Conference on Intelligent Computing (ICIC), 2024
Xindi Tong
Yujin Zhu
Shijian Fan
Liang Xu
544
1
0
26 Sep 2024
Beyond Efficiency: Molecular Data Pruning for Enhanced Generalization
Beyond Efficiency: Molecular Data Pruning for Enhanced GeneralizationNeural Information Processing Systems (NeurIPS), 2024
Dingshuo Chen
Zhixun Li
Yuyan Ni
Guibin Zhang
Ding Wang
Qiang Liu
Shu Wu
Jeffrey Xu Yu
Liang Wang
364
10
0
02 Sep 2024
AnyGraph: Graph Foundation Model in the Wild
AnyGraph: Graph Foundation Model in the Wild
Lianghao Xia
Chao Huang
OOD
482
43
0
20 Aug 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
474
8
0
10 Aug 2024
Parameter-Efficient Fine-Tuning via Circular Convolution
Parameter-Efficient Fine-Tuning via Circular Convolution
Chenyi Zi
Jiashun Cheng
Zijing Liu
Ziqi Gao
Fugee Tsung
Yu-Feng Li
Jia Li
586
5
0
27 Jul 2024
Rethinking Fair Graph Neural Networks from Re-balancing
Rethinking Fair Graph Neural Networks from Re-balancing
Zhixun Li
Yushun Dong
Qiang Liu
Jeffrey Xu Yu
286
19
0
16 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
398
39
0
12 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
Chenyi Zi
Haiyun Jiang
Deng Cai
Victor Wai Kin Chan
Jia Li
415
39
0
10 Jul 2024
ProG: A Graph Prompt Learning Benchmark
ProG: A Graph Prompt Learning BenchmarkNeural Information Processing Systems (NeurIPS), 2024
Chenyi Zi
Haihong Zhao
Xiangguo Sun
Yiqing Lin
Hong Cheng
Jia Li
443
33
0
08 Jun 2024
Entity Alignment with Noisy Annotations from Large Language Models
Entity Alignment with Noisy Annotations from Large Language Models
Shengyuan Chen
Qinggang Zhang
Hao-Heng Chen
Wen Hua
Qing Li
Xiao Huang
420
29
0
27 May 2024
A Survey of Large Language Models for Graphs
A Survey of Large Language Models for Graphs
Xubin Ren
Jiabin Tang
D. Yin
Nitesh Chawla
Chao Huang
301
122
0
10 May 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
D. Yin
Qing Li
AI4CE
504
53
0
23 Apr 2024
All in One and One for All: A Simple yet Effective Method towards
  Cross-domain Graph Pretraining
All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining
Haihong Zhao
Chenyi Zi
Xiangguo Sun
Hong Cheng
Jia Li
371
91
0
15 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
Shucheng Zhou
AI4CE
470
85
0
03 Feb 2024
1
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