目录
本论文清单由知乎作者白小鱼于21年3月31日整理而成，最后更新时间为3月31日。
正式期刊会议文章
2021
CCF-C
- Xu Zhang, Youjia Zhang, Zuyu Zhang: Multi-granularity Recurrent Attention Graph Neural Network for Few-Shot Learning. MMM (2) 2021: 147-158
2020
CCF-A
- Huaxiu Yao, Chuxu Zhang, Ying Wei, Meng Jiang, Suhang Wang, Junzhou Huang, Nitesh V. Chawla, Zhenhui Li: Graph Few-Shot Learning via Knowledge Transfer. AAAI 2020: 6656-6663
- Riquan Chen, Tianshui Chen, Xiaolu Hui, Hefeng Wu, Guanbin Li, Liang Lin: Knowledge Graph Transfer Network for Few-Shot Recognition. AAAI 2020: 10575-10582
- Chuxu Zhang, Huaxiu Yao, Chao Huang, Meng Jiang, Zhenhui Li, Nitesh V. Chawla: Few-Shot Knowledge Graph Completion. AAAI 2020: 3041-3048
- Ling Yang, Liangliang Li, Zilun Zhang, Xinyu Zhou, Erjin Zhou, Yu Liu: DPGN: Distribution Propagation Graph Network for Few-Shot Learning. CVPR 2020: 13387-13396
- Meng Qu, Tianyu Gao, Louis-Pascal A. C. Xhonneux, Jian Tang: Few-shot Relation Extraction via Bayesian Meta-learning on Relation Graphs. ICML 2020: 7867-7876
- Jinheon Baek, Dong Bok Lee, Sung Ju Hwang: Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph Link Prediction. NeurIPS 2020
- Lin Lan, Pinghui Wang, Xuefeng Du, Kaikai Song, Jing Tao, Xiaohong Guan: Node Classification on Graphs with Few-Shot Novel Labels via Meta Transformed Network Embedding. NeurIPS 2020
CCF-B
- Kaize Ding, Jianling Wang, Jundong Li, Kai Shu, Chenghao Liu, Huan Liu:Graph Prototypical Networks for Few-shot Learning on Attributed Networks. CIKM 2020: 295-304
- Ning Wang, Minnan Luo, Kaize Ding, Lingling Zhang, Jundong Li, Qinghua Zheng:GraphFew-shot Learning with Attribute Matching. CIKM 2020: 1545-1554
- Ning Ma, Jiajun Bu, Jieyu Yang, Zhen Zhang, Chengwei Yao, Zhi Yu, Sheng Zhou, Xifeng Yan: Adaptive-Step Graph Meta-Learner for Few-Shot Graph Classification. CIKM 2020: 1055-1064
- Jueqing Lu, Lan Du, Ming Liu, Joanna Dipnall: Multi-label Few/Zero-shot Learning with Knowledge Aggregated from Multiple Label Graphs. EMNLP (1) 2020: 2935-2943
- Jiawei Sheng, Shu Guo, Zhenyu Chen, Juwei Yue, Lihong Wang, Tingwen Liu, Hongbo Xu: Adaptive Attentional Network for Few-Shot Knowledge Graph Completion. EMNLP (1) 2020: 1681-1691
- Guohao Lan, Bailey Heit, Timothy James Scargill, Maria Gorlatova: GazeGraph: graph-based few-shot cognitive context sensing from human visual behavior. SenSys 2020: 422-435
- ✅ Chen Lyu, Weijie Liu, Ping Wang: Few-Shot Text Classification with Edge-Labeling Graph Neural Network-Based Prototypical Network. COLING 2020: 5547-5552
- 阅读笔记：【论文分享】小样本文本分类方法 EGNN-Proto：Few-Shot Text Classification with Edge-Labeling Graph Network-Based Proto_vector<>的博客-CSDN博客提出了一个小样本文本分类模型：EGNN-Proto。利用预训练语言模型BERT学习文本嵌入，并通过edge-labeling graph neural network改进了prototypical network，以更好地刻画和利用文本之间的关系，从而在小样本的文本分类任务中获得更好的性能。
https://blog.csdn.net/qq_39328436/article/details/123745654
CCF-C
- Xinyi Tong, Jihao Yin, Bingnan Han, Hui Qv: Few-Shot Learning With Attention-Weighted Graph Convolutional Networks For Hyperspectral Image Classification. ICIP 2020: 1686-1690
- Tong Wei, Junlin Hou, Rui Feng: Fuzzy Graph Neural Network for Few-Shot Learning. IJCNN 2020: 1-8
SCI期刊
- Rui Yang, Xin Xu, Xirong Li, Lei Wang, Fangling Pu: Learning Relation by Graph Neural Network for SAR Image Few-Shot Learning. IGARSS 2020: 1743-1746
- Yuxiang Xie, Hua Xu, Jiaoe Li, Congcong Yang, Kai Gao: Heterogeneous graph neural networks for noisy few-shot relation classification. Knowl. Based Syst. 194: 105548 (2020)
无等级
- Jatin Chauhan, Deepak Nathani, Manohar Kaul: Few-Shot Learning on graphs via super-Classes based on Graph spectral Measures. ICLR 2020
2019
CCF-A
- Yue Gao, Yuan Guo, Zhouhui Lian, Yingmin Tang, Jianguo Xiao: Artistic glyph image synthesis via one-stage few-shot learning. ACM Trans. Graph. 38(6): 185:1-185:12 (2019)
- Jongmin Kim, Taesup Kim, Sungwoong Kim, Chang D. Yoo: Edge-Labeling Graph Neural Network for Few-Shot Learning. CVPR 2019: 11-20
- Chenrui Zhang, Xiaoqing Lyu, Zhi Tang: TGG: Transferable Graph Generation for Zero-shot and Few-shot Learning. ACM Multimedia 2019: 1641-1649
- Apoorva Dornadula, Austin Narcomey, Ranjay Krishna, Michael Bernstein, Fei-Fei Li: Visual Relationships as Functions: Enabling Few-Shot Scene Graph Prediction. ICCV Workshops 2019: 1730-1739
- Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Lina Yao, Chengqi Zhang: Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph. IJCAI 2019: 3015-3022
CCF-B
- ✅Fan Zhou, Chengtai Cao, Kunpeng Zhang, Goce Trajcevski, Ting Zhong, Ji Geng: Meta-GNN: On Few-shot Node Classification in Graph Meta-learning. CIKM 2019: 2357-2360
- 阅读笔记：【论文分享】GNN+小样本文本分类方法：Meta-GNN: On Few-shot Node Classification in Graph Meta-learning_vector<>的博客-CSDN博客用GNN来实现小样本分类，运用元学习的策略来训练模型。用到的gnn模型是SGC 和 GCN ，没有对gnn模型任何创新性的改造，但是将gnn上的元学习实验过程描述得很清楚，并且提供了各种baseline的代码，对gnn+小样本的实验有参考价值，总体而言比较基础。
- Mingyang Chen, Wen Zhang, Wei Zhang, Qiang Chen, Huajun Chen: Meta Relational Learning for Few-Shot Link Prediction in Knowledge Graphs. EMNLP/IJCNLP (1) 2019: 4216-4225
- Xin Lv, Yuxian Gu, Xu Han, Lei Hou, Juanzi Li, Zhiyuan Liu: Adapting Meta Knowledge Graph Information for Multi-Hop Reasoning over Few-Shot Relations. EMNLP/IJCNLP (1) 2019: 3374-3379
CCF-C
- Shilei Zhang, Yong Qin, Kewei Sun, Yonghua Lin: Few-Shot Audio Classification with Attentional Graph Neural Networks. INTERSPEECH 2019: 3649-3653
无等级
- Xiaolu Hui, Riquan Chen, Tianshui Chen: Graph attention propagation for few-shot learning. ACM TUR-C 2019: 103:1-103:4
- Asma Bensalah, Pau Riba, Alicia Fornés, Josep Lladós: Shoot Less and Sketch More: An Efficient Sketch Classification via Joining Graph Neural Networks and Few-Shot Learning. GREC@ICDAR 2019: 80-85
2018
CCF-B
- I. Mason, Sebastian Starke, He Zhang, Hakan Bilen, Taku Komura: Few-shot Learning of Homogeneous Human Locomotion Styles. Comput. Graph. Forum 37(7): 143-153 (2018)
无等级
- Victor Garcia Satorras, Joan Bruna Estrach: Few-Shot Learning with Graph Neural Networks. ICLR (Poster) 2018
预印本文章
2021
- Peixiao Zheng, Xin Guo, Lin Qi:Edge-Labeling based Directed Gated Graph Network for Few-shot Learning. CoRR abs/2101.11299 (2021)
- Yongchun Zhu, Fuzhen Zhuang, Xiangliang Zhang, Zhiyuan Qi, Zhiping Shi, Qing He:Combat Data Shift in Few-shot Learning with Knowledge Graph.CoRR abs/2101.11354 (2021)
- Ethan Shen, Maria Brbic, Nicholas Monath, Jiaqi Zhai, Manzil Zaheer, Jure Leskovec:Model-Agnostic Graph Regularization for Few-Shot Learning.CoRR abs/2102.07077 (2021)
- Zhichun Guo, Chuxu Zhang, Wenhao Yu, John Herr, Olaf Wiest, Meng Jiang, Nitesh V. Chawla:Few-Shot GraphLearning for Molecular Property Prediction.CoRR abs/2102.07916 (2021)
- Shunyu Jiang, Fuli Feng, Weijian Chen, Xiang Li, Xiangnan He:Structure-Enhanced Meta-Learning For Few-Shot Graph Classification.CoRR abs/2103.03547 (2021)
- Dora Jambor, Komal K. Teru, Joelle Pineau, William L. Hamilton: Exploring the Limits of Few-Shot Link Prediction in Knowledge Graphs. CoRR abs/2102.03419 (2021)
2020
- Jatin Chauhan, Deepak Nathani, Manohar Kaul:Few-Shot Learning on Graphs via Super-Classes based on Graph Spectral Measures. CoRR abs/2002.12815 (2020)
- Ning Ma, Jiajun Bu, Jieyu Yang, Zhen Zhang, Chengwei Yao, Zhi Yu:Few-Shot Graph Classification with Model Agnostic Meta-Learning.CoRR abs/2003.08246 (2020)
- Ling Yang, Liangliang Li, Zilun Zhang, Xinyu Zhou, Erjin Zhou, Yu Liu:DPGN: Distribution Propagation Graph Network for Few-shot Learning.CoRR abs/2003.14247 (2020)
- Guangfeng Lin, Ying Yang, Yindi Fan, Xiaobing Kang, Kaiyang Liao, Fan Zhao:High-order structure preserving graph neural network for few-shot learning.CoRR abs/2005.14415 (2020)
- Jinheon Baek, Dong Bok Lee, Sung Ju Hwang:Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph Link Prediction.CoRR abs/2006.06648 (2020)
- Kaize Ding, Jianling Wang, Jundong Li, Kai Shu, Chenghao Liu, Huan Liu:Graph Prototypical Networks for Few-shot Learning on Attributed Networks.CoRR abs/2006.12739 (2020)
- Baoquan Zhang, Ka-Cheong Leung, Yunming Ye, Xutao Li:MetaConcept: Learn to Abstract via Concept Graph for Weakly-Supervised Few-Shot Learning.CoRR abs/2007.02379 (2020)
- Meng Qu, Tianyu Gao, Louis-Pascal A. C. Xhonneux, Jian Tang:Few-shot Relation Extraction via Bayesian Meta-learning on Relation Graphs.CoRR abs/2007.02387 (2020)
- Hao Cheng, Joey Tianyi Zhou, Wee Peng Tay, Bihan Wen:Attentive Graph Neural Networks for Few-Shot Learning.CoRR abs/2007.06878 (2020)
- Jueqing Lu, Lan Du, Ming Liu, Joanna Dipnall:Multi-label Few/Zero-shot Learning with Knowledge Aggregated from Multiple Label Graphs.CoRR abs/2010.07459 (2020)
- Lin Lan, Pinghui Wang, Xuefeng Du, Kaikai Song, Jing Tao, Xiaohong Guan: Node Classification on Graphs with Few-Shot Novel Labels via Meta Transformed Network Embedding. CoRR abs/2007.02914 (2020)
- Vassilis N. Ioannidis, Da Zheng, George Karypis: Few-shot link prediction via graph neural networks for Covid-19 drug-repurposing. CoRR abs/2007.10261 (2020)
- Jiawei Sheng, Shu Guo, Zhenyu Chen, Juwei Yue, Lihong Wang, Tingwen Liu, Hongbo Xu: Adaptive Attentional Network for Few-Shot Knowledge Graph Completion. CoRR abs/2010.09638 (2020)
- Piotr Koniusz, Hongguang Zhang:Power Normalizations in Fine-grained Image, Few-shot Image and Graph Classification.CoRR abs/2012.13975 (2020)
2019
- Jongmin Kim, Taesup Kim, Sungwoong Kim, Chang D. Yoo:Edge-labeling Graph Neural Network for Few-shot Learning.CoRR abs/1905.01436 (2019)
- Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Lina Yao, Chengqi Zhang:Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph.CoRR abs/1905.04042 (2019)
- Fan Zhou, Chengtai Cao, Kunpeng Zhang, Goce Trajcevski, Ting Zhong, Ji Geng:Meta-GNN: On Few-shot Node Classification in Graph Meta-learning.CoRR abs/1905.09718 (2019)
- Chenrui Zhang, Xiaoqing Lyu, Zhi Tang:TGG: Transferable Graph Generation for Zero-shot and Few-shot Learning.CoRR abs/1908.11503 (2019)
- Mingyang Chen, Wen Zhang, Wei Zhang, Qiang Chen, Huajun Chen:Meta Relational Learning for Few-Shot Link Prediction in Knowledge Graphs.CoRR abs/1909.01515 (2019)
- Huaxiu Yao, Chuxu Zhang, Ying Wei, Meng Jiang, Suhang Wang, Junzhou Huang, Nitesh V. Chawla, Zhenhui Li:GraphFew-shot Learning via Knowledge Transfer.CoRR abs/1910.03053 (2019)
- Avishek Joey Bose, Ankit Jain, Piero Molino, William L. Hamilton:Meta-Graph: Few shot Link Prediction via Meta Learning.CoRR abs/1912.09867 (2019)
- Riquan Chen, Tianshui Chen, Xiaolu Hui, Hefeng Wu, Guanbin Li, Liang Lin:
- Knowledge Graph Transfer Network for Few-Shot Recognition. CoRR abs/1911.09579 (2019)
- Chuxu Zhang, Huaxiu Yao, Chao Huang, Meng Jiang, Zhenhui Li, Nitesh V. Chawla:Few-Shot Knowledge Graph Completion.CoRR abs/1911.11298 (2019)
- Xin Lv, Yuxian Gu, Xu Han, Lei Hou, Juanzi Li, Zhiyuan Liu: Adapting Meta Knowledge Graph Information for Multi-Hop Reasoning over Few-Shot Relations. CoRR abs/1908.11513 (2019)
- Apoorva Dornadula, Austin Narcomey, Ranjay Krishna, Michael Bernstein, Li Fei-Fei: Visual Relationships as Functions: Enabling Few-Shot Scene Graph Prediction. CoRR abs/1906.04876 (2019)