Graph Few-shot Learning via Knowledge Transfer

7 October 2019

Papers citing "Graph Few-shot Learning via Knowledge Transfer"

50 / 63 papers shown

Title
GOTHAM: Graph Class Incremental Learning Framework under Weak Supervision Aditya Hemant Shahane Prathosh A.P Sandeep Kumar CLL 20 0 0 07 Apr 2025
MLDGG: Meta-Learning for Domain Generalization on Graphs Q. Tian Chen Zhao Minglai Shao Wenjun Wang Yujie Lin Dong Li OOD AI4CE 82 1 0 19 Nov 2024
Virtual Node Generation for Node Classification in Sparsely-Labeled Graphs Hang Cui Tarek F. Abdelzaher 25 0 0 12 Sep 2024
Pre-Training and Prompting for Few-Shot Node Classification on Text-Attributed Graphs Huan-jing Zhao Beining Yang Yukuo Cen Junyu Ren Chenhui Zhang Yuxiao Dong Evgeny Kharlamov Shu Zhao Jie Tang VLM 49 7 0 22 Jul 2024
Meta-GPS++: Enhancing Graph Meta-Learning with Contrastive Learning and Self-Training Yonghao Liu Mengyu Li Ximing Li Lan Huang Fausto Giunchiglia Yanchun Liang Xiaoyue Feng Renchu Guan SSL 22 4 0 20 Jul 2024
Graph Mining under Data scarcity Appan Rakaraddi Lam Siew-Kei Mahardhika Pratama Marcus Vinícius de Carvalho BDL 27 0 0 07 Jun 2024
Continual Learning on Graphs: Challenges, Solutions, and Opportunities Xikun Zhang Dongjin Song Dacheng Tao CLL 21 7 0 18 Feb 2024
A Survey of Data-Efficient Graph Learning Wei Ju Siyu Yi Yifan Wang Qingqing Long Junyu Luo Zhiping Xiao Ming Zhang GNN 22 26 0 01 Feb 2024
Topology-aware Embedding Memory for Continual Learning on Expanding Networks Xikun Zhang Dongjin Song Yixin Chen Dacheng Tao 16 3 0 24 Jan 2024
STDA-Meta: A Meta-Learning Framework for Few-Shot Traffic Prediction Maoxiang Sun Weilong Ding Tianpu Zhang Zijian Liu Mengda Xing AI4TS 14 2 0 31 Oct 2023
Dynamic Link Prediction for New Nodes in Temporal Graph Networks Xiaobo Zhu Yan Wu Qin-Hu Zhang Zhanheng Chen Ying He AI4CE 8 2 0 15 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 13 5 0 19 Sep 2023
A Survey of Imbalanced Learning on Graphs: Problems, Techniques, and Future Directions Zemin Liu Yuan N. Li Nan-Fang Chen Qian Wang Bryan Hooi Bin He FaML 11 13 0 26 Aug 2023
Att-KGCN: Tourist Attractions Recommendation System by using Attention mechanism and Knowledge Graph Convolution Network A. Mubarak Jingjing Li Han Cao GNN 8 0 0 19 Jun 2023
Virtual Node Tuning for Few-shot Node Classification Zhen Tan Ruocheng Guo Kaize Ding Huan Liu 14 34 0 09 Jun 2023
Human-machine knowledge hybrid augmentation method for surface defect detection based few-data learning Yuanshi Gonga Xiaoqiao Wanga Chichun Zhou 16 5 0 27 Apr 2023
Edge-free but Structure-aware: Prototype-Guided Knowledge Distillation from GNNs to MLPs Taiqiang Wu Zhe Zhao Jiahao Wang Xingyu Bai Lei Wang Ngai Wong Yujiu Yang 55 9 0 24 Mar 2023
Graph-based Knowledge Distillation: A survey and experimental evaluation Jing Liu Tongya Zheng Guanzheng Zhang Qinfen Hao 19 8 0 27 Feb 2023
Learning to Count Isomorphisms with Graph Neural Networks Xingtong Yu Zemin Liu Yuan Fang Xinming Zhang GNN 21 15 0 07 Feb 2023
Joint Edge-Model Sparse Learning is Provably Efficient for Graph Neural Networks Shuai Zhang M. Wang Pin-Yu Chen Sijia Liu Songtao Lu Miaoyuan Liu MLT 11 16 0 06 Feb 2023
Concept Discovery for Fast Adapatation Shengyu Feng Hanghang Tong OffRL 22 0 0 19 Jan 2023
A Survey On Few-shot Knowledge Graph Completion with Structural and Commonsense Knowledge Haodi Ma D. Wang 24 6 0 03 Jan 2023
Contrastive Graph Few-Shot Learning Chunhui Zhang Hongfu Liu Jundong Li Yanfang Ye Chuxu Zhang 16 1 0 30 Sep 2022
Toward Robust Graph Semi-Supervised Learning against Extreme Data Scarcity Kaize Ding E. Nouri Guoqing Zheng Huan Liu Ryen W. White 15 9 0 26 Aug 2022
Few-Shot Semantic Relation Prediction across Heterogeneous Graphs Pengfei Ding Yan Wang Guanfeng Liu Xiaofang Zhou 8 5 0 11 Jul 2022
Task-Adaptive Few-shot Node Classification Song Wang Kaize Ding Chuxu Zhang Chen Chen Jundong Li OffRL 28 48 0 23 Jun 2022
Metric Based Few-Shot Graph Classification Donato Crisostomi Simone Antonelli Valentino Maiorca Luca Moschella R. Marin Emanuele Rodolà 13 5 0 08 Jun 2022
Geometer: Graph Few-Shot Class-Incremental Learning via Prototype Representation Bin Lu Xiaoying Gan Lina Yang Weinan Zhang Luoyi Fu Xinbing Wang CLL 11 27 0 27 May 2022
Spatio-Temporal Graph Few-Shot Learning with Cross-City Knowledge Transfer Bin Lu Xiaoying Gan Weinan Zhang Huaxiu Yao Luoyi Fu Xinbing Wang AI4TS 18 69 0 27 May 2022
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities Yisheng Song Ting-Yuan Wang S. Mondal J. P. Sahoo SLR 36 342 0 13 May 2022
FAITH: Few-Shot Graph Classification with Hierarchical Task Graphs Song Wang Yushun Dong Xiao Huang Chen Chen Jundong Li 17 23 0 05 May 2022
Supervised Graph Contrastive Learning for Few-shot Node Classification Zhen Tan Kaize Ding Ruocheng Guo Huan Liu OffRL 14 11 0 29 Mar 2022
Few-Shot Learning on Graphs Chuxu Zhang Kaize Ding Jundong Li Xiangliang Zhang Yanfang Ye Nitesh V. Chawla Huan Liu 9 18 0 17 Mar 2022
Cross-Domain Few-Shot Graph Classification Kaveh Hassani 8 31 0 20 Jan 2022
When Facial Expression Recognition Meets Few-Shot Learning: A Joint and Alternate Learning Framework Xinyi Zou Y. Yan Jing-Hao Xue Si Chen Hanzi Wang 22 14 0 18 Jan 2022
Doing More with Less: Overcoming Data Scarcity for POI Recommendation via Cross-Region Transfer Vinayak Gupta Srikanta J. Bedathur 23 19 0 16 Jan 2022
Graph Representation Learning for Multi-Task Settings: a Meta-Learning Approach Davide Buffelli Fabio Vandin AI4CE 20 6 0 10 Jan 2022
A Lightweight and Accurate Spatial-Temporal Transformer for Traffic Forecasting Guanyao Li Shuhan Zhong Shueng-Han Gary Chan Ruiyuan Li Chih-Chieh Hung Wen-Chih Peng AI4TS 20 26 0 30 Dec 2021
Meta Propagation Networks for Graph Few-shot Semi-supervised Learning Kaize Ding Jianling Wang James Caverlee Huan Liu SSL 9 41 0 18 Dec 2021
Hierarchical Prototype Networks for Continual Graph Representation Learning Xikun Zhang Dongjin Song Dacheng Tao CLL 15 31 0 30 Nov 2021
Node-wise Localization of Graph Neural Networks Zemin Liu Yuan Fang Chenghao Liu S. Hoi 8 25 0 27 Oct 2021
CIM: Class-Irrelevant Mapping for Few-Shot Classification Shuai Shao Lei Xing Yixin Chen Yanjiang Wang Baodi Liu Yicong Zhou 13 2 0 07 Sep 2021
Human-In-The-Loop Document Layout Analysis Xingjiao Wu Tianlong Ma Xin Li Qin Chen Liangbo He 11 2 0 04 Aug 2021
Robust Graph Meta-learning for Weakly-supervised Few-shot Node Classification Kaize Ding Jianling Wang Jundong Li James Caverlee Huan Liu OOD OffRL 10 6 0 12 Jun 2021
What Can Knowledge Bring to Machine Learning? -- A Survey of Low-shot Learning for Structured Data Yang Hu Adriane P. Chapman Guihua Wen Dame Wendy Hall 23 24 0 11 Jun 2021
Meta-Inductive Node Classification across Graphs Zhihao Wen Yuan Fang Zemin Liu 28 33 0 14 May 2021
Structure-Enhanced Meta-Learning For Few-Shot Graph Classification Shunyu Jiang Fuli Feng Weijia Chen Xiang Li Xiangnan He 17 18 0 05 Mar 2021
Meta-Learning with Graph Neural Networks: Methods and Applications Debmalya Mandal Sourav Medya Brian Uzzi Charu C. Aggarwal AI4CE 16 21 0 27 Feb 2021
Few-Shot Graph Learning for Molecular Property Prediction Zhichun Guo Chuxu Zhang W. Yu John E. Herr Olaf Wiest Meng-Long Jiang Nitesh V. Chawla AI4CE 106 168 0 16 Feb 2021
Graph Neural Networks: Taxonomy, Advances and Trends Yu Zhou Haixia Zheng Xin Huang Shufeng Hao Dengao Li Jumin Zhao AI4TS 23 113 0 16 Dec 2020