Task-Equivariant Graph Few-shot Learning-Reference-Cited by-同舟云学术

Task-Equivariant Graph Few-shot Learning

Published:2023-08-04 Issue: Volume: Page:
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Container-title:Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
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Author:

Kim Sungwon¹^ORCID,Lee Junseok¹^ORCID,Lee Namkyeong¹^ORCID,Kim Wonjoong¹^ORCID,Choi Seungyoon¹^ORCID,Park Chanyoung¹^ORCID

Affiliation:

1. KAIST, Daejeon, Republic of Korea

Funder

Institute of Information & communications Technology Planning & Evaluation (IITP) grant funded by the Korea government(MSIT)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3580305.3599515

Reference51 articles.

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2. Aleksandar Bojchevski and Stephan Günnemann . 2017. Deep gaussian embedding of graphs: Unsupervised inductive learning via ranking. arXiv preprint arXiv:1707.03815 ( 2017 ). Aleksandar Bojchevski and Stephan Günnemann. 2017. Deep gaussian embedding of graphs: Unsupervised inductive learning via ranking. arXiv preprint arXiv:1707.03815 (2017).

3. Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning

4. Taco Cohen and Max Welling . 2016 a. Group equivariant convolutional networks . In International conference on machine learning. PMLR, 2990--2999 . Taco Cohen and Max Welling. 2016a. Group equivariant convolutional networks. In International conference on machine learning. PMLR, 2990--2999.

5. Taco S Cohen and Max Welling . 2016b. Steerable cnns. arXiv preprint arXiv:1612.08498 ( 2016 ). Taco S Cohen and Max Welling. 2016b. Steerable cnns. arXiv preprint arXiv:1612.08498 (2016).