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We address catastrophic forgetting issues in graph learning as incoming data transits from one to another graph distribution.
Multitask learning
Rich Caruana · 1998
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Yann LeCun, Leon Bottou, Yoshua Bengio, and Patrick Haffner · 1998
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Catastrophic forgetting in connectionist networks
Robert M French · 1999
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Andrew Kachites McCallum, Kamal Nigam, Jason Rennie, and Kristie Seymore · 2000
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Kullback-leibler divergence
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Andrei A Rusu, Neil C Rabinowitz, Guillaume Desjardins, Hubert Soyer, James Kirkpatrick, Koray Kavukcuoglu, Razvan Pascanu, and Raia Hadsell · 2016
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Paying more attention to attention: Improving the performance of convolutional neural networks via attention transfer
Sergey Zagoruyko and Nikos Komodakis · 2016
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Inductive representation learning on large graphs
Will Hamilton, Zhitao Ying, and Jure Leskovec · 2017
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Like what you like: Knowledge distill via neuron selectivity transfer
Zehao Huang and Naiyan Wang · 2017
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Overcoming catastrophic forgetting in neural networks
James Kirkpatrick, Razvan Pascanu, Neil Rabinowitz, Joel Veness, Guillaume Desjardins, Andrei A Rusu, Kieran Milan, John Quan, Tiago Ramalho, Agnieszka Grabska-Barwinska, et al · 2017
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Learning without forgetting
Zhizhong Li and Derek Hoiem · 2017
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David Lopez-Paz and Marc’Aurelio Ranzato · 2017
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Arun Mallya and Svetlana Lazebnik · 2017
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David Lopez Paz and Marc Aurelio Ranzato · 2017
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Junho Yim, Donggyu Joo, Ji-Hoon Bae, and Junmo Kim · 2017
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Rahaf Aljundi, Francesca Babiloni, Mohamed Elhoseiny, Marcus Rohrbach, and Tinne Tuytelaars · 2018
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PODNet: Pooled Outputs Distillation for Small-Tasks Incremental Learning , pages 86–102
Arthur Douillard, Matthieu Cord, Charles Ollion, Thomas Robert, and Eduardo Valle · 2020
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Lifelong learning of graph neural networks for open-world node classification
Lukas Galke, Benedikt Franke, Tobias Zielke, and Ansgar Scherp · 2020
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Gdumb: A simple approach that questions our progress in continual learning
Ameya Prabhu, Philip HS Torr, and Puneet K Dokania · 2020
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Unbiased scene graph generation from biased training
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Streaming graph neural networks via continual learning
Junshan Wang, Guojie Song, Yi Wu, and Liang Wang · 2020
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Distilling knowledge from graph convolutional networks
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Robust deep reinforcement learning for extractive legal summarization
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