Inductive Linear Probing for Few-Shot Node Classification

Author:

Mathavan HirthikORCID,Tan ZhenORCID,Mudiam NivedhORCID,Liu HuanORCID

Publisher

Springer Nature Switzerland

Reference19 articles.

1. Snell, J., Swersky, K., Zemel, R.: Prototypical networks for few-shot learning. In: NeurIPS (2017)

2. Finn, C., Abbeel, P., Levine, S.: Model-agnostic meta-learning for fast adaptation of deep networks. In: ICML (2017)

3. Zhou, F., Cao, C., Zhang, K., Trajcevski, G., Zhong, T., Geng, J.: Meta-gnn: on few-shot node classification in graph meta-learning. In: CIKM (2019)

4. Huang, K., Zitnik, M.: Graph meta learning via local subgraphs. In: NeurIPS (2020)

5. Ding, K., Wang, J., Li, J., Shu, K., Liu, C., Liu, H.: Graph prototypical networks for few-shot learning on attributed networks. In: CIKM (2020)

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