Few-shot Graph Classification with Contrastive Loss and Meta-classifier-Reference-Cited by-同舟云学术

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Few-shot Graph Classification with Contrastive Loss and Meta-classifier

Published:2022-07-18 Issue: Volume: Page:
ISSN:
Container-title:2022 International Joint Conference on Neural Networks (IJCNN)
language:
Short-container-title:

Author:

Wei Chao¹,Deng Zhidong¹

Affiliation:

1. Beijing National Research Center for Information Science and Technology (BNRist), Institute for Artificial Intelligence at Tsinghua University (THUAI), Tsinghua University,State Key Laboratory of Intelligent Technology and Systems,Department of Computer Science and Technology,Beijing,China,100084

Funder

National Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9891857/9889787/09892886.pdf?arnumber=9892886

Reference52 articles.

1. Meta-Learning with Dynamic-Memory-Based Prototypical Network for Few-Shot Event Detection

2. Meta-graph: Few shot link prediction via meta learning;bose;ArXiv Preprint,2019

3. Meta networks;munkhdalai;International Conference on Machine Learning,2017

4. A simple neural attentive meta-learner;mishra;ArXiv Preprint,2017

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. TMNIO:Triplet merged network with involution operators for improved few‐shot image classification;IET Image Processing;2024-02-21

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