ReadPaper是深圳学海云帆科技有限公司推出的专业论文阅读平台和学术交流社区,收录近2亿篇论文、近2.7亿位科研论文作者、近3万所高校及研究机构,包括nature、science、cell、pnas、pubmed、arxiv、acl、cvpr等知名期刊会议,涵盖了数学、物理、化学、材料、金融、计算机科
图表示学习 Graph Representation Learning GRL可以为下游任务提供embedding。 但如果有标签数据稀少则会困难重重,比如分子特性检测花费大量人力和实验资源去标记数据,又比如推荐系统中的冷启动问题。 Few-shot Learning on Graphs FSLG 也是近几年小样本学习的热点话题(虽然似乎还是迁移学习效果更好一些)。 这篇论文就是...
[2]A Theoretical Analysis of the Number of Shots in Few-Shot Learning. Tianshi Cao, Marc T Law, Sanja Fidler(小样本学习的shot数量理论分析) [3]FEW-SHOT LEARNING ON GRAPHS VIA SUPER-CLASSES BASED ON GRAPH SPECTRAL MEASURES. Jatin Chauhan, Deepak Nathani, Manohar Kaul [4]Few-shot Text Clas...
few-shot learning on graphs (FSLG), which combines the strengths of graph representation learning and few-shot learning together, has been proposed to tackle the performance degradation in face of limited annotated data challenge. There have been many studies working on FSLG recently. In this pa...
This repository provides a curated collection of research papers focused on few-shot learning on graphs. It is derived from our survey paper: A Survey of Few-Shot Learning on Graphs: From Meta-Learning to Pre-Training and Prompting. We will update this list regularly. If you notice any ...
Awesome Few-Shot Learning on Graphs This repository provides a curated collection of research papers focused on few-shot learning on graphs. It is derived from our survey paper: A Survey of Few-Shot Learning on Graphs: From Meta-Learning to Pre-Training and Prompting. We will update this list...
《Few-shot learning with noisy labels》(CVPR 2022) GitHub: github.com/facebookresearch/noisy_few_shot《GraphDE: A Generative Framework for Debiased Learning and Out-of-Distribution Detection on Graphs》(NeurIPS 2022) GitHub: github.com/Emiyalzn/GraphDE [fig9]...
(三)论文链接《Optimization as a Model for Few-Shot Learning》:https://openreview.net/pdf?id=rJY0-Kcll.《Few-shot Classification on Graphs with Structural Regularized GCNs 》: https://openreview.net/pdf?id=r1znKiAcY7.《Siamese neural networks for one-shot image recognition》:http://www.cs....
Few-shot learning on graphs. In: Proceedings of International Joint Conferences on Artificial Intelligence, 2022. 5662–5669 MATH Google Scholar Zhang L, Wang S, Liu J, et al. MuL-GRN: multi-level graph relation network for few-shot node classification. IEEE Trans Knowl Data Eng, 2023, ...
深度学习: Zero-shot Learning / One-shot Learning / Few-shot Learning 们开始研究 Zero-shot Learning / One-shot Learning / Few-shot Learning。 爱上一匹野马 (泛化能力),可我的家里没有草原 (海量数据) 。 Learning类型 分为: Zero-shot Learning、One-shot Learning、Few-shot Learning、传统 Learnin...