Papers citing 'Adaptive Transfer Learning on Graph Neural Networks'

Title
Unify Graph Learning with Text: Unleashing LLM Potentials for Session SearchThe Web Conference (WWW), 2024 Songhao Wu Quan Tu Hong Liu Jia Xu Zhongyi Liu Guannan Zhang Ran Wang Xiuying Chen Rui Yan 283 9 0 20 May 2025
RELIEF: Reinforcement Learning Empowered Graph Feature Prompt TuningKnowledge Discovery and Data Mining (KDD), 2024 Jiapeng Zhu Zichen Ding Jianxiang Yu Jiaqi Tan Xiang Li Weining Qian OffRL 501 9 0 20 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 422 9 0 08 Jan 2025
GraphLoRA: Structure-Aware Contrastive Low-Rank Adaptation for Cross-Graph Transfer LearningKnowledge Discovery and Data Mining (KDD), 2024 Zhe-Rui Yang Jindong Han Chang-Dong Wang Hao Liu OffRL 299 6 0 08 Jan 2025
Hierarchical Structure Sharing Empowers Multi-task Heterogeneous GNNs for Customer Expansion Xinyue Feng Shuxin Zhong Jinquan Hang Wenjun Lyu Yuequn Zhang Guang Yang Haotian Wang Desheng Zhang Guang Wang 216 2 0 29 Oct 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 230 3 0 03 Mar 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 242 17 0 21 Dec 2023
Enhancing Document Information Analysis with Multi-Task Pre-training: A Robust Approach for Information Extraction in Visually-Rich DocumentsIEEE International Joint Conference on Neural Network (IJCNN), 2023 Tofik Ali Partha Pratim Roy 175 0 0 25 Oct 2023
Search to Fine-tune Pre-trained Graph Neural Networks for Graph-level TasksIEEE International Conference on Data Engineering (ICDE), 2023 Zhili Wang Hanmo Liu Lei Chen Xiaofang Zhou 186 14 0 14 Aug 2023
GeoLayoutLM: Geometric Pre-training for Visual Information ExtractionComputer Vision and Pattern Recognition (CVPR), 2023 Chuwei Luo Changxu Cheng Qi Zheng Cong Yao 188 59 0 21 Apr 2023
You Only Transfer What You Share: Intersection-Induced Graph Transfer Learning for Link Prediction Wenqing Zheng E-Wen Huang Nikhil S. Rao Zinan Lin Karthik Subbian 232 6 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 144 1 0 16 Dec 2022
Non-IID Transfer Learning on GraphsAAAI Conference on Artificial Intelligence (AAAI), 2022 Jun Wu Jingrui He Elizabeth Ainsworth OOD 216 53 0 15 Dec 2022
Hierarchical Graph Transformer with Adaptive Node SamplingNeural Information Processing Systems (NeurIPS), 2022 Zaixin Zhang Qi Liu Qingyong Hu Cheekong Lee 286 119 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 181 5 0 05 Oct 2022
MentorGNN: Deriving Curriculum for Pre-Training GNNsInternational Conference on Information and Knowledge Management (CIKM), 2022 Dawei Zhou Lecheng Zheng Dongqi Fu Jiawei Han Jingrui He 157 25 0 21 Aug 2022
Transfer Learning via Test-Time Neural Networks AggregationVISIGRAPP (VISIGRAPP), 2022 Bruno Casella Alessio Barbaro Chisari Sebastiano Battiato M. Giuffrida FedML OOD 125 4 0 27 Jun 2022
A Survey of Pretraining on Graphs: Taxonomy, Methods, and Applications Jun Xia Yanqiao Zhu Yuanqi Du Stan Z. Li VLM 133 42 0 16 Feb 2022
Finding Materialized Models for Model Reuse Minjun Zhao Lu Chen Keyu Yang Yuntao Du Yunjun Gao 286 1 0 13 Oct 2021
Automated Self-Supervised Learning for GraphsInternational Conference on Learning Representations (ICLR), 2021 Wei Jin Xiaorui Liu Xiangyu Zhao Yao Ma Neil Shah Shucheng Zhou SSL 250 87 0 10 Jun 2021