Adaptive Transfer Learning on Graph Neural Networks

19 July 2021

Xueting Han

Zhenhuan Huang

Bang An

Jing Bai

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Papers citing "Adaptive Transfer Learning on Graph Neural Networks"

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Title
Inference-friendly Graph Compression for Graph Neural Networks Yangxin Fan Haolai Che Yinghui Wu GNN 62 0 0 17 Apr 2025
RELIEF: Reinforcement Learning Empowered Graph Feature Prompt Tuning Jiapeng Zhu Zichen Ding Jianxiang Yu Jiaqi Tan Xiang Li Weining Qian OffRL 149 2 0 20 Jan 2025
GraphLoRA: Structure-Aware Contrastive Low-Rank Adaptation for Cross-Graph Transfer Learning Zhe-Rui Yang Jindong Han Chang-Dong Wang Hao Liu OffRL 33 1 0 08 Jan 2025
Edge Graph Intelligence: Reciprocally Empowering Edge Networks with Graph Intelligence Liekang Zeng Shengyuan Ye Xu Chen Xiaoxi Zhang Ju Ren Jian Tang Yang Yang Xuemin Shen 57 2 0 08 Jan 2025
InLINE: Inner-Layer Information Exchange for Multi-task Learning on Heterogeneous Graphs Xinyue Feng Jinquan Hang Yuequn Zhang Haotian Wang Desheng Zhang Guang Wang 31 0 0 29 Oct 2024
From Basic to Extra Features: Hypergraph Transformer Pretrain-then-Finetuning for Balanced Clinical Predictions on EHR Ran Xu Yiwen Lu Chang Liu Yong Chen Yan Sun Xiao Hu Joyce C. Ho Carl Yang 38 1 0 09 Jun 2024
Exploring Correlations of Self-Supervised Tasks for Graphs Taoran Fang Wei Zhou Yifei Sun Kaiqiao Han Lvbin Ma Yang Yang 35 7 0 07 May 2024
Decoupling Weighing and Selecting for Integrating Multiple Graph Pre-training Tasks Tianyu Fan Lirong Wu Yufei Huang Haitao Lin Cheng Tan Zhangyang Gao Stan Z. Li 40 3 0 03 Mar 2024
Subgraph-level Universal Prompt Tuning Junhyun Lee Wooseong Yang Jaewoo Kang VLM 34 5 0 16 Feb 2024
Subgraph Pooling: Tackling Negative Transfer on Graphs Zehong Wang Zheyuan Zhang Chuxu Zhang Yanfang Ye 44 6 0 14 Feb 2024
FedGT: Federated Node Classification with Scalable Graph Transformer Zaixin Zhang Qingyong Hu Yang Yu Weibo Gao Qi Liu FedML 46 2 0 26 Jan 2024
Use of Graph Neural Networks in Aiding Defensive Cyber Operations Shaswata Mitra Trisha Chakraborty Subash Neupane Aritran Piplai Sudip Mittal AAML 45 3 0 11 Jan 2024
Graph Neural Networks for Surfactant Multi-Property Prediction Christoforos Brozos Jan G. Rittig Sandip Bhattacharya Elie Akanny Christina Kohlmann Alexander Mitsos AI4CE 36 7 0 03 Jan 2024
Fine-tuning Graph Neural Networks by Preserving Graph Generative Patterns Yifei Sun Qi Zhu Yang Yang Chunping Wang Tianyu Fan Jiajun Zhu Lei Chen 43 12 0 21 Dec 2023
Enhancing Document Information Analysis with Multi-Task Pre-training: A Robust Approach for Information Extraction in Visually-Rich Documents Tofik Ali Partha Pratim Roy 16 0 0 25 Oct 2023
Search to Fine-tune Pre-trained Graph Neural Networks for Graph-level Tasks Zhili Wang Shimin Di Lei Chen Xiaofang Zhou 46 10 0 14 Aug 2023
Graph-Aware Language Model Pre-Training on a Large Graph Corpus Can Help Multiple Graph Applications Han Xie Da Zheng Jun Ma Houyu Zhang V. Ioannidis ... Sheng Wang Carl Yang Yi Xu Belinda Zeng Trishul Chilimbi AI4CE 22 35 0 05 Jun 2023
GeoLayoutLM: Geometric Pre-training for Visual Information Extraction Chuwei Luo Changxu Cheng Qi Zheng Cong Yao 24 43 0 21 Apr 2023
When to Pre-Train Graph Neural Networks? From Data Generation Perspective! Yu Cao Jiarong Xu Carl Yang Jiaan Wang Yunchao Zhang Chunping Wang L. Chen Yang Yang 18 16 0 29 Mar 2023
You Only Transfer What You Share: Intersection-Induced Graph Transfer Learning for Link Prediction Wenqing Zheng E-Wen Huang Nikhil S. Rao Zhangyang Wang Karthik Subbian 31 4 0 27 Feb 2023
Toward Improved Generalization: Meta Transfer of Self-supervised Knowledge on Graphs Wenhui Cui H. Akrami Anand A. Joshi Richard M. Leahy 30 0 0 16 Dec 2022
Non-IID Transfer Learning on Graphs Jun Wu Jingrui He Elizabeth Ainsworth OOD 8 33 0 15 Dec 2022
Hierarchical Graph Transformer with Adaptive Node Sampling Zaixin Zhang Qi Liu Qingyong Hu Cheekong Lee 78 82 0 08 Oct 2022
Automated Graph Self-supervised Learning via Multi-teacher Knowledge Distillation Lirong Wu Yufei Huang Haitao Lin Zicheng Liu Tianyu Fan Stan Z. Li SSL 56 5 0 05 Oct 2022
MentorGNN: Deriving Curriculum for Pre-Training GNNs Dawei Zhou Lecheng Zheng Dongqi Fu Jiawei Han Jingrui He 33 22 0 21 Aug 2022
Transfer Learning via Test-Time Neural Networks Aggregation Bruno Casella Alessio Barbaro Chisari Sebastiano Battiato M. Giuffrida FedML OOD 33 3 0 27 Jun 2022
A Survey of Pretraining on Graphs: Taxonomy, Methods, and Applications Jun-Xiong Xia Yanqiao Zhu Yuanqi Du Stan Z. Li VLM 30 41 0 16 Feb 2022
Finding Materialized Models for Model Reuse Minjun Zhao Lu Chen Keyu Yang Yuntao Du Yunjun Gao 21 1 0 13 Oct 2021
Automated Self-Supervised Learning for Graphs Wei Jin Xiaorui Liu Xiangyu Zhao Yao Ma Neil Shah Jiliang Tang SSL 29 76 0 10 Jun 2021
Heterogeneous Graph Transformer Ziniu Hu Yuxiao Dong Kuansan Wang Yizhou Sun 185 1,170 0 03 Mar 2020