Graph Prototypical Networks for Few-shot Learning on Attributed Networks-Reference-Cited by-同舟云学术

Graph Prototypical Networks for Few-shot Learning on Attributed Networks

Published:2020-10-19 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 29th ACM International Conference on Information & Knowledge Management
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Author:

Ding Kaize¹,Wang Jianling²,Li Jundong³,Shu Kai⁴,Liu Chenghao⁵,Liu Huan¹

Affiliation:

1. Arizona State University, Tempe, AZ, USA

2. Texas A&M University, College Station, TX, USA

3. University of Virginia, Charlottesville, VA, USA

4. Illinois Institute of Technology, Chicago, IL, USA

5. Singapore Management University, Singapore, Singapore

Funder

NSF

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3340531.3411922

Reference47 articles.

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2. Bose A. J. Jain A. Molino P. and Hamilton W. L. Meta-graph: Few shot link prediction via meta learning. arXiv preprint arXiv:1912.09867 (2019). Bose A. J. Jain A. Molino P. and Hamilton W. L. Meta-graph: Few shot link prediction via meta learning. arXiv preprint arXiv:1912.09867 (2019).

3. Bruna J. Zaremba W. Szlam A. and LeCun Y. Spectral networks and locally connected networks on graphs. arXiv preprint arXiv:1312.6203 (2013). Bruna J. Zaremba W. Szlam A. and LeCun Y. Spectral networks and locally connected networks on graphs. arXiv preprint arXiv:1312.6203 (2013).

4. Heterogeneous Network Embedding via Deep Architectures

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