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

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

17 February 2024
Yuhan Li
Peisong Wang
Zhixun Li
Jeffrey Xu Yu
Jia Li
ArXivPDFHTML

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

40 / 40 papers shown
Title
Sparseformer: a Transferable Transformer with Multi-granularity Token Sparsification for Medical Time Series Classification
Sparseformer: a Transferable Transformer with Multi-granularity Token Sparsification for Medical Time Series Classification
Jiexia Ye
Weiqi Zhang
Z. Li
J. Li
Fugee Tsung
MedIm
36
0
0
19 Mar 2025
A Survey of Cross-domain Graph Learning: Progress and Future Directions
Haihong Zhao
Chenyi Zi
Aochuan Chen
Jia Li
67
0
0
14 Mar 2025
Towards Graph Foundation Models: A Transferability Perspective
Y. Wang
Wenqi Fan
Suhang Wang
Yao Ma
41
0
0
13 Mar 2025
InversionGNN: A Dual Path Network for Multi-Property Molecular Optimization
Yifan Niu
Ziqi Gao
Tingyang Xu
Yang Liu
Yatao Bian
Yu Rong
Junzhou Huang
Jia Li
61
0
0
03 Mar 2025
Rewarding Graph Reasoning Process makes LLMs more Generalized Reasoners
Miao Peng
Nuo Chen
Zongrui Suo
Jia Li
LRM
31
0
0
02 Mar 2025
Exploring Graph Tasks with Pure LLMs: A Comprehensive Benchmark and Investigation
Exploring Graph Tasks with Pure LLMs: A Comprehensive Benchmark and Investigation
Y. Wang
Xinnan Dai
Wenqi Fan
Yao Ma
67
1
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 Recommendation
Yuhan Li
Xinni Zhang
Linhao Luo
Heng Chang
Yuxiang Ren
Irwin King
J. Li
47
3
0
18 Feb 2025
IceBerg: Debiased Self-Training for Class-Imbalanced Node Classification
Zhixun Li
Dingshuo Chen
Tong Zhao
D. Wang
Hongrui Liu
Zhiqiang Zhang
Jun Zhou
Jeffrey Xu Yu
SSL
90
0
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
Zijin Hong
Junnan Dong
Hao-Heng Chen
Yi-Ju Chang
Xiao Huang
3DV
66
7
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
86
1
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 V. Chawla
Chuxu Zhang
Yanfang Ye
AI4CE
71
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
Jiliang Tang
AI4CE
56
0
0
30 Nov 2024
GFT: Graph Foundation Model with Transferable Tree Vocabulary
GFT: Graph Foundation Model with Transferable Tree Vocabulary
Zehong Wang
Zheyuan Zhang
Nitesh V. Chawla
Chuxu Zhang
Yanfang Ye
31
9
0
09 Nov 2024
Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood
  Prompts
Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood Prompts
Chaoxi Niu
Hezhe Qiao
Changlu Chen
Ling-Hao Chen
Guansong Pang
38
0
0
18 Oct 2024
Trojan Prompt Attacks on Graph Neural Networks
Trojan Prompt Attacks on Graph Neural Networks
M. Lin
Zhiwei Zhang
Enyan Dai
Zongyu Wu
Yilong Wang
Xiang Zhang
Suhang Wang
SILM
AAML
23
0
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
48
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
Neuro-Symbolic Entity Alignment via Variational Inference
Neuro-Symbolic Entity Alignment via Variational Inference
Shengyuan Chen
Qinggang Zhang
Junnan Dong
Wen Hua
Jiannong Cao
Xiao Huang
16
4
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 Task
Xindi Tong
Yujin Zhu
Shijian Fan
Liang Xu
54
1
0
26 Sep 2024
AnyGraph: Graph Foundation Model in the Wild
AnyGraph: Graph Foundation Model in the Wild
Lianghao Xia
Chao Huang
OOD
35
9
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
27
3
0
10 Aug 2024
Parameter-Efficient Fine-Tuning via Circular Convolution
Parameter-Efficient Fine-Tuning via Circular Convolution
Aochuan Chen
Jiashun Cheng
Zijing Liu
Ziqi Gao
Fugee Tsung
Yu Li
Jia Li
53
0
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
16
7
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
77
6
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
Aochuan Chen
Haiyun Jiang
Deng Cai
Victor Wai Kin Chan
Jia Li
43
11
0
10 Jul 2024
ProG: A Graph Prompt Learning Benchmark
ProG: A Graph Prompt Learning Benchmark
Chenyi Zi
Haihong Zhao
Xiangguo Sun
Yiqing Lin
Hong Cheng
Jia Li
43
9
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
Junnan Dong
Wen Hua
Qing Li
Xiao Huang
31
9
0
27 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
21
30
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
Dawei Yin
Qing Li
AI4CE
24
21
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
Aochuan Chen
Xiangguo Sun
Hong Cheng
Jia Li
24
33
0
15 Feb 2024
Weakly Supervised Anomaly Detection via Knowledge-Data Alignment
Weakly Supervised Anomaly Detection via Knowledge-Data Alignment
Haihong Zhao
Chenyi Zi
Yang Liu
Chen Zhang
Yan Zhou
Jia Li
28
4
0
06 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
Jiliang Tang
AI4CE
44
25
0
03 Feb 2024
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
102
37
0
02 Oct 2023
Can we trust the evaluation on ChatGPT?
Can we trust the evaluation on ChatGPT?
Rachith Aiyappa
Jisun An
Haewoon Kwak
Yong-Yeol Ahn
ELM
ALM
LLMAG
AI4MH
LRM
106
76
0
22 Mar 2023
The Devil is in the Conflict: Disentangled Information Graph Neural
  Networks for Fraud Detection
The Devil is in the Conflict: Disentangled Information Graph Neural Networks for Fraud Detection
Zhixun Li
Dingshuo Chen
Qiang Liu
Shu Wu
AAML
21
15
0
22 Oct 2022
A Molecular Multimodal Foundation Model Associating Molecule Graphs with
  Natural Language
A Molecular Multimodal Foundation Model Associating Molecule Graphs with Natural Language
Bing-Huang Su
Dazhao Du
Zhao-Qing Yang
Yujie Zhou
Jiangmeng Li
Anyi Rao
Haoran Sun
Zhiwu Lu
Ji-Rong Wen
40
107
0
12 Sep 2022
Rethinking Graph Neural Networks for Anomaly Detection
Rethinking Graph Neural Networks for Anomaly Detection
Jianheng Tang
Jiajin Li
Zi-Chao Gao
Jia Li
67
193
0
31 May 2022
Community Question Answering Entity Linking via Leveraging Auxiliary
  Data
Community Question Answering Entity Linking via Leveraging Auxiliary Data
Yuhan Li
Wei Shen
Jianbo Gao
Yadong Wang
25
10
0
24 May 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
137
130
0
29 Oct 2021
Entity Linking Meets Deep Learning: Techniques and Solutions
Entity Linking Meets Deep Learning: Techniques and Solutions
Wei Shen
Yuhan Li
Yinan Liu
Jiawei Han
Jianyong Wang
Xiaojie Yuan
26
50
0
26 Sep 2021
1