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

29 September 2023

Hao Liu

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

28 / 78 papers shown

Title
LOGIN: A Large Language Model Consulted Graph Neural Network Training Framework Yiran Qiao Xiang Ao Yang Liu Jiarong Xu Xiaoqian Sun Qing He 45 4 0 22 May 2024
A Survey of Large Language Models for Graphs Xubin Ren Jiabin Tang Dawei Yin Nitesh Chawla Chao Huang 30 34 0 10 May 2024
Enhancing Traffic Prediction with Textual Data Using Large Language Models Xiannan Huang 42 2 0 10 May 2024
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 35 23 0 23 Apr 2024
A Survey of Large Language Models on Generative Graph Analytics: Query, Learning, and Applications Wenbo Shang Xin Huang 36 9 0 23 Apr 2024
Exploring Task Unification in Graph Representation Learning via Generative Approach Yulan Hu Ouyang Sheng Zhirui Yang Ge Chen Junchen Wan Xiao Wang Yong Liu 31 2 0 21 Mar 2024
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 50 11 0 02 Mar 2024
Microstructures and Accuracy of Graph Recall by Large Language Models Yanbang Wang Hejie Cui Jon M. Kleinberg 46 2 0 19 Feb 2024
Towards Versatile Graph Learning Approach: from the Perspective of Large Language Models Lanning Wei Jun Gao Huan Zhao Quanming Yao 35 1 0 18 Feb 2024
ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs Yuhan Li Peisong Wang Zhixun Li Jeffrey Xu Yu Jia Li 37 40 0 17 Feb 2024
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 47 35 0 15 Feb 2024
G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering Xiaoxin He Yijun Tian Yifei Sun Nitesh Chawla T. Laurent Yann LeCun Xavier Bresson Bryan Hooi RALM 119 73 0 12 Feb 2024
Similarity-based Neighbor Selection for Graph LLMs Rui Li Jiwei Li Jiawei Han Guoyin Wang 24 3 0 06 Feb 2024
Advancing Graph Representation Learning with Large Language Models: A Comprehensive Survey of Techniques Qiheng Mao Zemin Liu Chenghao Liu Zhuo Li Jianling Sun 24 7 0 04 Feb 2024
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 69 28 0 03 Feb 2024
LPNL: Scalable Link Prediction with Large Language Models Baolong Bi Shenghua Liu Yiwei Wang Lingrui Mei Xueqi Cheng LRM 46 6 0 24 Jan 2024
Chain of History: Learning and Forecasting with LLMs for Temporal Knowledge Graph Completion Ruilin Luo Tianle Gu Haoling Li Junzhe Li Zicheng Lin Jiayi Li Yujiu Yang AI4CE 38 8 0 11 Jan 2024
Graph Prompt Learning: A Comprehensive Survey and Beyond Xiangguo Sun Jiawen Zhang Xixi Wu Hong Cheng Yun Xiong Jia Li 47 52 0 28 Nov 2023
A Survey of Graph Meets Large Language Model: Progress and Future Directions Yuhan Li Zhixun Li Peisong Wang Jia Li Xiangguo Sun Hongtao Cheng Jeffrey Xu Yu 53 56 0 21 Nov 2023
Label-free Node Classification on Graphs with Large Language Models (LLMS) Zhikai Chen Haitao Mao Hongzhi Wen Haoyu Han Wei-dong Jin Haiyang Zhang Hui Liu Jiliang Tang 36 75 0 07 Oct 2023
Graph Contrastive Learning Meets Graph Meta Learning: A Unified Method for Few-shot Node Tasks Hao Liu Jiarui Feng Lecheng Kong Dacheng Tao Yixin Chen Muhan Zhang OffRL 37 5 0 19 Sep 2023
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 59 266 0 07 Jul 2023
Graph Few-shot Learning with Task-specific Structures Song Wang Chen Chen Jundong Li 45 22 0 21 Oct 2022
FIMP: Foundation Model-Informed Message Passing for Graph Neural Networks S. Rizvi Nazreen Pallikkavaliyaveetil David Zhang Zhuoyang Lyu Nhi Nguyen ... Amin Karbasi Rex Ying Maria Brbić Rahul M. Dhodapkar David van Dijk GNN AI4CE 21 1 0 17 Oct 2022
Geodesic Graph Neural Network for Efficient Graph Representation Learning Lecheng Kong Yixin Chen Muhan Zhang GNN AI4CE 222 21 0 06 Oct 2022
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 156 133 0 29 Oct 2021
Benchmarking Graph Neural Networks Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 189 922 0 02 Mar 2020
MoleculeNet: A Benchmark for Molecular Machine Learning Zhenqin Wu Bharath Ramsundar Evan N. Feinberg Joseph Gomes C. Geniesse Aneesh S. Pappu K. Leswing Vijay S. Pande OOD 260 1,789 0 02 Mar 2017