Reinforced Continual Learning for Graphs

Author:

Rakaraddi Appan1,Siew Kei Lam1,Pratama Mahardhika2,de Carvalho Marcus1

Affiliation:

1. Nanyang Technological University, Singapore, Singapore

2. University of South Australia, Adelaide, SA, Australia

Funder

Ministry of Education Singapore

Publisher

ACM

Reference48 articles.

1. Expert Gate: Lifelong Learning with a Network of Experts

2. Unsupervised Continual Learning in Streaming Environments

3. 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).

4. Pietro Buzzega , Matteo Boschini , Angelo Porrello , Davide Abati , and Simone Calderara . 2020. Dark experience for general continual learning: a strong, simple baseline. Advances in neural information processing systems , Vol. 33 ( 2020 ), 15920--15930. Pietro Buzzega, Matteo Boschini, Angelo Porrello, Davide Abati, and Simone Calderara. 2020. Dark experience for general continual learning: a strong, simple baseline. Advances in neural information processing systems, Vol. 33 (2020), 15920--15930.

5. Arslan Chaudhry , Marcus Rohrbach , Mohamed Elhoseiny , Thalaiyasingam Ajanthan , Puneet K Dokania , Philip HS Torr, and M Ranzato . 2019 . Continual learning with tiny episodic memories. (2019). Arslan Chaudhry, Marcus Rohrbach, Mohamed Elhoseiny, Thalaiyasingam Ajanthan, Puneet K Dokania, Philip HS Torr, and M Ranzato. 2019. Continual learning with tiny episodic memories. (2019).

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