AnyGraph: Graph Foundation Model in the Wild

20 August 2024

Papers citing "AnyGraph: Graph Foundation Model in the Wild"

34 / 34 papers shown

Title
Relation-Aware Graph Foundation Model Jianxiang Yu Jiapeng Zhu Hao Qian Ziqi Liu Zhiqiang Zhang Xiang Li 86 0 0 17 May 2025
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 Jiliang Tang AI4CE 231 4 0 30 Nov 2024
A Survey of Deep Graph Learning under Distribution Shifts: from Graph Out-of-Distribution Generalization to Adaptation Kexin Zhang Shuhan Liu Song Wang Weili Shi Chen Chen Pan Li Sheng Li Jundong Li Kaize Ding OOD 133 5 0 25 Oct 2024
HiGPT: Heterogeneous Graph Language Model Jiabin Tang Yuhao Yang Wei Wei Lei Shi Long Xia Dawei Yin Chao Huang 97 26 0 25 Feb 2024
ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs Yuhan Li Peisong Wang Zhixun Li Jeffrey Xu Yu Jia Li 65 47 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 78 40 0 15 Feb 2024
LLaGA: Large Language and Graph Assistant Runjin Chen Tong Zhao Ajay Jaiswal Neil Shah Zhangyang Wang 76 71 0 13 Feb 2024
Relational Deep Learning: Graph Representation Learning on Relational Databases Matthias Fey Weihua Hu Kexin Huang J. E. Lenssen Rishabh Ranjan Joshua Robinson Rex Ying Jiaxuan You J. Leskovec GNN 73 36 0 07 Dec 2023
GraphGPT: Graph Instruction Tuning for Large Language Models Jiabin Tang Yuhao Yang Wei Wei Lei Shi Lixin Su Suqi Cheng Dawei Yin Chao Huang 110 145 0 19 Oct 2023
Learning How to Propagate Messages in Graph Neural Networks Teng Xiao Zhengyu Chen Donglin Wang Suhang Wang GNN 82 80 0 01 Oct 2023
One for All: Towards Training One Graph Model for All Classification Tasks Hao Liu Jiarui Feng Lecheng Kong Ningyue Liang Dacheng Tao Yixin Chen Muhan Zhang AI4CE 83 132 0 29 Sep 2023
Language is All a Graph Needs Ruosong Ye Caiqi Zhang Runhui Wang Shuyuan Xu Yongfeng Zhang AI4CE 115 170 0 14 Aug 2023
Scaling Data-Constrained Language Models Niklas Muennighoff Alexander M. Rush Boaz Barak Teven Le Scao Aleksandra Piktus Nouamane Tazi S. Pyysalo Thomas Wolf Colin Raffel ALM 100 223 0 25 May 2023
GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks Zemin Liu Xingtong Yu Yuan Fang Xinming Zhang LLMAG AI4CE 73 146 0 16 Feb 2023
Reproducible scaling laws for contrastive language-image learning Mehdi Cherti Romain Beaumont Ross Wightman Mitchell Wortsman Gabriel Ilharco Cade Gordon Christoph Schuhmann Ludwig Schmidt J. Jitsev VLM CLIP 120 819 0 14 Dec 2022
InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions Wenhai Wang Jifeng Dai Zhe Chen Zhenhang Huang Zhiqi Li ... Tong Lu Lewei Lu Hongsheng Li Xiaogang Wang Yu Qiao VLM 139 687 0 10 Nov 2022
Universal Prompt Tuning for Graph Neural Networks Taoran Fang Yunchao Zhang Yang Yang Chunping Wang Lei Chen 96 58 0 30 Sep 2022
OmniVL:One Foundation Model for Image-Language and Video-Language Tasks Junke Wang Dongdong Chen Zuxuan Wu Chong Luo Luowei Zhou Yucheng Zhao Yujia Xie Ce Liu Yu-Gang Jiang Lu Yuan MLLM VLM 89 153 0 15 Sep 2022
Training Graph Neural Networks with 1000 Layers Guohao Li Matthias Muller Guohao Li V. Koltun GNN AI4CE 86 241 0 14 Jun 2021
Graph Contrastive Learning Automated Yuning You Tianlong Chen Yang Shen Zhangyang Wang 81 479 0 10 Jun 2021
Automated Self-Supervised Learning for Graphs Wei Jin Xiaorui Liu Xiangyu Zhao Yao Ma Neil Shah Jiliang Tang SSL 82 76 0 10 Jun 2021
How Attentive are Graph Attention Networks? Shaked Brody Uri Alon Eran Yahav GNN 119 1,085 0 30 May 2021
Graph Unlearning Min Chen Zhikun Zhang Tianhao Wang Michael Backes Mathias Humbert Yang Zhang MU 60 149 0 27 Mar 2021
Graph Self-Supervised Learning: A Survey Yixin Liu Ming Jin Shirui Pan Chuan Zhou Yu Zheng Xiwei Xu Philip S. Yu SSL 107 571 0 27 Feb 2021
Self-Supervised Learning of Graph Neural Networks: A Unified Review Yaochen Xie Zhao Xu Jingtun Zhang Zhengyang Wang Shuiwang Ji SSL 103 335 0 22 Feb 2021
Graph Contrastive Learning with Adaptive Augmentation Yanqiao Zhu Yichen Xu Feng Yu Qiang Liu Shu Wu Liang Wang 84 1,112 0 27 Oct 2020
ASGN: An Active Semi-supervised Graph Neural Network for Molecular Property Prediction Zhong Hao Chengqiang Lu Zheyuan Hu Hongya Wang Zhenya Huang Qi Liu Enhong Chen Cheekong Lee 116 139 0 07 Jul 2020
Graph Structure Learning for Robust Graph Neural Networks Wei Jin Yao Ma Xiaorui Liu Xianfeng Tang Suhang Wang Jiliang Tang OOD AAML 84 707 0 20 May 2020
Heterogeneous Graph Transformer Ziniu Hu Yuxiao Dong Kuansan Wang Yizhou Sun 284 1,208 0 03 Mar 2020
LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation Xiangnan He Kuan Deng Xiang Wang Yan Li Yongdong Zhang Meng Wang GNN 189 3,674 0 06 Feb 2020
Simplifying Graph Convolutional Networks Felix Wu Tianyi Zhang Amauri Souza Christopher Fifty Tao Yu Kilian Q. Weinberger GNN 244 3,182 0 19 Feb 2019
How Powerful are Graph Neural Networks? Keyulu Xu Weihua Hu J. Leskovec Stefanie Jegelka GNN 251 7,695 0 01 Oct 2018
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 481 20,225 0 30 Oct 2017
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 652 29,154 0 09 Sep 2016