Mitigating Semantic Confusion from Hostile Neighborhood for Graph Active Learning

Author:

Yang Tianmeng1ORCID,Zhou Min2ORCID,Wang Yujing3ORCID,Lin Zhengjie3ORCID,Pan Lujia4ORCID,Cui Bin3ORCID,Tong Yunhai3ORCID

Affiliation:

1. School of Intelligence Science and Technology, Peking University, Beijing, China

2. Huawei Cloud, Shenzhen, China

3. Peking University, Beijing, China

4. Huawei Noah's Ark Lab, Shenzhen, China

Publisher

ACM

Reference31 articles.

1. Hongyun Cai , Vincent W Zheng , and Kevin Chen-Chuan Chang . 2017. Active learning for graph embedding. arXiv preprint arXiv:1705.05085 ( 2017 ). Hongyun Cai, Vincent W Zheng, and Kevin Chen-Chuan Chang. 2017. Active learning for graph embedding. arXiv preprint arXiv:1705.05085 (2017).

2. Liat Ein Dor , Alon Halfon , Ariel Gera , Eyal Shnarch , Lena Dankin , Leshem Choshen , Marina Danilevsky , Ranit Aharonov , Yoav Katz , and Noam Slonim . 2020 . Active learning for BERT: an empirical study . In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing. 7949--7962 . Liat Ein Dor, Alon Halfon, Ariel Gera, Eyal Shnarch, Lena Dankin, Leshem Choshen, Marina Danilevsky, Ranit Aharonov, Yoav Katz, and Noam Slonim. 2020. Active learning for BERT: an empirical study. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing. 7949--7962.

3. Scaling Up Graph Neural Networks Via Graph Coarsening

4. Maximizing the spread of influence through a social network

5. Dongkwan Kim and Alice Oh . 2021 . How to find your friendly neighborhood: Graph attention design with self-supervision . International Conference on Learning Representations (ICLR) (2021). Dongkwan Kim and Alice Oh. 2021. How to find your friendly neighborhood: Graph attention design with self-supervision. International Conference on Learning Representations (ICLR) (2021).

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