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Graph Neural Networks (GNNs) have recently received significant research attention due to their superior performance on a variety of graph-related learning tasks.
A comprehensive survey on graph neural networks
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Continual learning: A comparative study on how to defy forgetting in classification tasks
De Lange, M.; Aljundi, R.; Masana, M.; Parisot, S.; Jia, X.; Leonardis, A.; Slabaugh, G.; and Tuytelaars, T. 2019 · 1909
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Catastrophic interference in connectionist networks: The sequential learning problem
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Why there are complementary learning systems in the hippocampus and neocortex: insights from the successes and failures of connectionist models of learning and memory
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Collective classification in network data
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An empirical investigation of catastrophic forgetting in gradient-based neural networks
Goodfellow, I. J.; Mirza, M.; Xiao, D.; Courville, A.; and Bengio, Y. 2013 · 2013
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Adam: A method for stochastic optimization
Kingma, D. P.; and Ba, J. 2014 · 2014
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Deepwalk: Online learning of social representations
Perozzi, B.; Al-Rfou, R.; and Skiena, S. 2014 · 2014
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Deep convolutional networks on graph-structured data
Henaff, M.; Bruna, J.; and LeCun, Y. 2015 · 2015
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Line: Large-scale information network embedding
Tang, J.; Qu, M.; Wang, M.; Zhang, M.; Yan, J.; and Mei, Q. 2015 · 2015
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Lifelong machine learning
Chen, Z.; and Liu, B. 2016 · 2016
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Improved deep reinforcement learning for robotics through distribution-based experience retention
de Bruin, T.; Kober, J.; Tuyls, K.; and Babuška, R. 2016 · 2016
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Convolutional neural networks on graphs with fast localized spectral filtering
Defferrard, M.; Bresson, X.; and Vandergheynst, P. 2016 · 2016
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node2vec: Scalable feature learning for networks
Grover, A.; and Leskovec, J. 2016 · 2016
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What learning systems do intelligent agents need? Complementary learning systems theory updated
Kumaran, D.; Hassabis, D.; and McClelland, J. L. 2016 · 2016
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Inductive representation learning on large graphs
Hamilton, W.; Ying, Z.; and Leskovec, J. 2017 · 2017
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Semi-supervised classification with graph convolutional networks
Large-scale learnable graph convolutional networks
Gao, H.; Wang, Z.; and Ji, S. 2018 · 2018
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Piggyback: Adapting a single network to multiple tasks by learning to mask weights
Mallya, A.; Davis, D.; and Lazebnik, S. 2018 · 2018
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Packnet: Adding multiple tasks to a single network by iterative pruning
Mallya, A.; and Lazebnik, S. 2018 · 2018
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Graph attention networks
Veličković, P.; Cucurull, G.; Casanova, A.; Romero, A.; Lio, P.; and Bengio, Y. 2018 · 2018
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Reinforced continual learning
Xu, J.; and Zhu, Z. 2018 · 2018
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Graph convolutional neural networks for web-scale recommender systems
Ying, R.; He, R.; Chen, K.; Eksombatchai, P.; Hamilton, W. L.; and Leskovec, J. 2018 · 2018
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Kipf, T. N.; and Welling, M. 2017 · 2017
Cited alongside, same era.
Overcoming catastrophic forgetting in neural networks
Kirkpatrick, J.; Pascanu, R.; Rabinowitz, N.; Veness, J.; Desjardins, G.; Rusu, A. A.; Milan, K.; Quan, J.; Ramalho, T.; Grabska-Barwinska, A.; et al. 2017 · 2017
Cited alongside, same era.
Understanding black-box predictions via influence functions
Koh, P. W.; and Liang, P. 2017 · 2017
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Learning without forgetting
Li, Z.; and Hoiem, D. 2017 · 2017
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Gradient episodic memory for continual learning
Lopez-Paz, D.; and Ranzato, M. 2017 · 2017
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icarl: Incremental classifier and representation learning
Rebuffi, S.-A.; Kolesnikov, A.; Sperl, G.; and Lampert, C. H. 2017 · 2017
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Continual learning through synaptic intelligence
Zenke, F.; Poole, B.; and Ganguli, S. 2017 · 2017
Cited alongside, same era.
Gated residual recurrent graph neural networks for traffic prediction
Chen, C.; Li, K.; Teo, S. G.; Zou, X.; Wang, K.; Wang, J.; and Zeng, Z. 2019 · 2019
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Generative models for graph-based protein design
Ingraham, J.; Garg, V.; Barzilay, R.; and Jaakkola, T. 2019 · 2019
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Experience replay for continual learning
Rolnick, D.; Ahuja, A.; Schwarz, J.; Lillicrap, T.; and Wayne, G. 2019 · 2019
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How powerful are graph neural networks?
Xu, K.; Hu, W.; Leskovec, J.; and Jegelka, S. 2019 · 2019
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Heterogeneous graph neural network
Zhang, C.; Song, D.; Huang, C.; Swami, A.; and Chawla, N. V. 2019 · 2019
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Heterogeneous graph attention network
Wang, X.; Ji, H.; Shi, C.; Wang, B.; Ye, Y.; Cui, P.; and Yu, P. S. 2019 · 2032
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