Few-shot Node Classification with Extremely Weak Supervision-Reference-Cited by-同舟云学术

Few-shot Node Classification with Extremely Weak Supervision

Published:2023-02-27 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining
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Author:

Wang Song¹^ORCID,Dong Yushun¹^ORCID,Ding Kaize²^ORCID,Chen Chen¹^ORCID,Li Jundong¹^ORCID

Affiliation:

1. University of Virginia, Charlottesville, VA, USA

2. Arizona State University, Phoniex, AZ, USA

Funder

NSF (National Science Foundation)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3539597.3570435

Reference43 articles.

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3. Jeff Calder , Brendan Cook , Matthew Thorpe , and Dejan Slepcev . 2020 . Poisson Learning: Graph Based semi-supervised learning at very low label rates. In ICML. Jeff Calder, Brendan Cook, Matthew Thorpe, and Dejan Slepcev. 2020. Poisson Learning: Graph Based semi-supervised learning at very low label rates. In ICML.

4. Kaize Ding Jundong Li Nitin Agarwal and Huan Liu. 2020a. Inductive anomaly detection on attributed networks. In IJCAI. Kaize Ding Jundong Li Nitin Agarwal and Huan Liu. 2020a. Inductive anomaly detection on attributed networks. In IJCAI.

5. Kaize Ding , Jianling Wang , Jundong Li , James Caverlee , and Huan Liu . 2021. Weakly-supervised Graph Meta-learning for Few-shot Node Classification. arXiv:2106.06873 ( 2021 ). Kaize Ding, Jianling Wang, Jundong Li, James Caverlee, and Huan Liu. 2021. Weakly-supervised Graph Meta-learning for Few-shot Node Classification. arXiv:2106.06873 (2021).

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