Task-Adaptive Few-shot Node Classification

Knowledge Discovery and Data Mining (KDD), 2022

23 June 2022

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Papers citing "Task-Adaptive Few-shot Node Classification"

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Title
Parameter-Free Hypergraph Neural Network for Few-Shot Node Classification Chaewoon Bae Doyun Choi Jaehyun Lee Jaemin Yoo 68 0 0 24 Oct 2025
Graph Few-Shot Learning via Adaptive Spectrum Experts and Cross-Set Distribution Calibration Yonghao Liu Y. Wang Chunli Guo Wei Pang Ximing Li Fausto Giunchiglia Xiaoyue Feng Renchu Guan 146 0 0 14 Oct 2025
Analytical Survey of Learning with Low-Resource Data: From Analysis to Investigation Xiaofeng Cao Mingwei Xu Xin Yu Jiangchao Yao Wei Ye ... Minling Zhang Ivor Tsang Yew-Soon Ong James T. Kwok Heng Tao Shen 103 3 0 10 Oct 2025
CPT: Competence-progressive Training Strategy for Few-shot Node Classification Qilong Yan Yufeng Zhang Jinghao Zhang Jingpu Duan Jian Yin 594 0 0 01 Jul 2025
Dual-level Mixup for Graph Few-shot Learning with Fewer TasksThe Web Conference (WWW), 2025 Yuqi Liu Mengyu Li Fausto Giunchiglia Lan Huang Ximing Li Xiaoyue Feng Renchu Guan 164 2 0 21 Feb 2025
Enhancing Unsupervised Graph Few-shot Learning via Set Functions and Optimal TransportKnowledge Discovery and Data Mining (KDD), 2025 Yuqi Liu Fausto Giunchiglia Ximing Li Lan Huang Xiaoyue Feng Renchu Guan OffRL 651 2 0 10 Jan 2025
Towards Graph Foundation Models: Learning Generalities Across Graphs via Task-Trees Zehong Wang Zheyuan Zhang Tianyi Ma Nitesh Chawla Chuxu Zhang Yanfang Ye AI4CE 354 0 0 21 Dec 2024
Inductive Graph Few-shot Class Incremental LearningWeb Search and Data Mining (WSDM), 2024 Yongqian Li Peyman Moghadam Can Peng Nan Ye Piotr Koniusz 308 2 0 11 Nov 2024
GFT: Graph Foundation Model with Transferable Tree VocabularyNeural Information Processing Systems (NeurIPS), 2024 Zehong Wang Zheyuan Zhang Nitesh Chawla Chuxu Zhang Yanfang Ye 236 40 0 09 Nov 2024
Fast Graph Sharpness-Aware Minimization for Enhancing and Accelerating Few-Shot Node ClassificationNeural Information Processing Systems (NeurIPS), 2024 Yihong Luo Yuhan Chen Siya Qiu Yiwei Wang Chen Zhang Yan Zhou Xiaochun Cao Jing Tang AAML 173 6 0 22 Oct 2024
Virtual Node Generation for Node Classification in Sparsely-Labeled Graphs Hang Cui Tarek F. Abdelzaher 142 0 0 12 Sep 2024
Hound: Hunting Supervision Signals for Few and Zero Shot Node Classification on Text-attributed Graph Yuxiang Wang Xiao Yan Shiyu Jin Quanqing Xu Chuanhui Yang Yuanyuan Zhu Chuang Hu Bo Du Jiawei Jiang VLM 116 1 0 01 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 168 14 0 22 Jul 2024
Meta-GPS++: Enhancing Graph Meta-Learning with Contrastive Learning and Self-Training Yuqi Liu Mengyu Li Ximing Li Lan Huang Fausto Giunchiglia Yanchun Liang Xiaoyue Feng Renchu Guan SSL 154 5 0 20 Jul 2024
GOFA: A Generative One-For-All Model for Joint Graph Language Modeling Lecheng Kong Jiarui Feng Hao Liu Chengsong Huang Jiaxin Huang Yixin Chen Muhan Zhang AI4CE 295 25 0 12 Jul 2024
Graph Mining under Data scarcityIEEE International Joint Conference on Neural Network (IJCNN), 2024 Appan Rakaraddi Lam Siew-Kei Mahardhika Pratama Marcus Vinícius de Carvalho BDL 202 0 0 07 Jun 2024
GraphAlign: Pretraining One Graph Neural Network on Multiple Graphs via Feature Alignment Zhenyu Hou Haozhan Li Yukuo Cen Jie Tang Yuxiao Dong 176 12 0 05 Jun 2024
Addressing Shortcomings in Fair Graph Learning Datasets: Towards a New BenchmarkKnowledge Discovery and Data Mining (KDD), 2024 Xiaowei Qian Zhimeng Guo Jialiang Li Haitao Mao Bingheng Li Suhang Wang Yao Ma 157 6 0 09 Mar 2024
GraphRCG: Self-Conditioned Graph Generation Song Wang Zhen Tan Xinyu Zhao Tianlong Chen Huan Liu Wenlin Yao 163 0 0 02 Mar 2024
One for All: Towards Training One Graph Model for All Classification TasksInternational Conference on Learning Representations (ICLR), 2023 Hao Liu Jiarui Feng Lecheng Kong Ningyue Liang Dacheng Tao Yixin Chen Muhan Zhang AI4CE 373 198 0 29 Sep 2023
Graph Contrastive Learning Meets Graph Meta Learning: A Unified Method for Few-shot Node TasksThe Web Conference (WWW), 2023 Hao Liu Jiarui Feng Lecheng Kong Dacheng Tao Yixin Chen Muhan Zhang OffRL 129 11 0 19 Sep 2023
Fair Few-shot Learning with Auxiliary SetsEuropean Conference on Artificial Intelligence (ECAI), 2023 Song Wang Jing Ma Lu Cheng Jundong Li 146 3 0 28 Aug 2023
A Survey of Imbalanced Learning on Graphs: Problems, Techniques, and Future DirectionsIEEE Transactions on Knowledge and Data Engineering (TKDE), 2023 Zemin Liu Yuan N. Li Nan-Fang Chen Qian Wang Bryan Hooi Bin He FaML 211 26 0 26 Aug 2023
Cross-heterogeneity Graph Few-shot LearningInternational Conference on Information and Knowledge Management (CIKM), 2023 Pengfei Ding Yan Wang Guanfeng Liu 137 4 0 10 Aug 2023
Unsupervised Episode Generation for Graph Meta-learningInternational Conference on Machine Learning (ICML), 2023 Jihyeong Jung Sang-gyu Seo Sungwon Kim Chanyoung Park BDL 241 1 0 27 Jun 2023
Contrastive Meta-Learning for Few-shot Node ClassificationKnowledge Discovery and Data Mining (KDD), 2023 Song Wang Zhen Tan Huan Liu Jundong Li 130 23 0 27 Jun 2023
Federated Few-shot LearningKnowledge Discovery and Data Mining (KDD), 2023 Song Wang Xingbo Fu Kaize Ding Chen Chen Huiyuan Chen Jundong Li FedML 220 36 0 17 Jun 2023
Virtual Node Tuning for Few-shot Node ClassificationKnowledge Discovery and Data Mining (KDD), 2023 Zhen Tan Ruocheng Guo Kaize Ding Huan Liu 207 54 0 09 Jun 2023
Task-Equivariant Graph Few-shot LearningKnowledge Discovery and Data Mining (KDD), 2023 Sungwon Kim Junseok Lee Namkyeong Lee Wonjoon Kim Seung-Deok Choi Chanyoung Park 292 11 0 30 May 2023
Road Planning for Slums via Deep Reinforcement LearningKnowledge Discovery and Data Mining (KDD), 2023 Y. Zheng Hongyuan Su Jingtao Ding Depeng Jin Yong Li 224 18 0 22 May 2023
PRODIGY: Enabling In-context Learning Over GraphsNeural Information Processing Systems (NeurIPS), 2023 Qian Huang Hongyu Ren Peng Chen Gregor Krvzmanc D. Zeng Abigail Z. Jacobs J. Leskovec 218 99 0 21 May 2023
Few-shot Node Classification with Extremely Weak SupervisionWeb Search and Data Mining (WSDM), 2023 Song Wang Yushun Dong Kaize Ding Chen Chen Jundong Li 151 23 0 06 Jan 2023
Transductive Linear Probing: A Novel Framework for Few-Shot Node ClassificationLOG IN (LOG IN), 2022 Zhen Tan Song Wang Kaize Ding Jundong Li Huan Liu 141 29 0 11 Dec 2022
Graph Few-shot Learning with Task-specific StructuresNeural Information Processing Systems (NeurIPS), 2022 Song Wang Chen Chen Jundong Li 130 24 0 21 Oct 2022
Contrastive Graph Few-Shot Learning Chunhui Zhang Hongfu Liu Jundong Li Yanfang Ye Chuxu Zhang 211 1 0 30 Sep 2022
Robust Graph Meta-learning for Weakly-supervised Few-shot Node ClassificationACM Transactions on Knowledge Discovery from Data (TKDD), 2021 Kaize Ding Jianling Wang Jundong Li James Caverlee Huan Liu OOD OffRL 159 9 0 12 Jun 2021