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Machine learning on graph structured data has attracted much research interest due to its ubiquity in real world data.
Modeling task relationships in multi-task learning with multi-gate mixture-of-experts
Ma, J., Zhao, Z., Yi, X., Chen, J., Hong, L., and Chi, E. H. (2018) · 1939
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Multitask learning
Caruana, R. (1998) · 1998
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Statistical evaluation of the predictive toxicology challenge 2000–2001
Toivonen, H., Srinivasan, A., King, R. D., Kramer, S., and Helma, C. (2003) · 2001
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Protein function prediction via graph kernels
Borgwardt, K. M., Ong, C. S., Schönauer, S., Vishwanathan, S., Smola, A. J., and Kriegel, H.-P. (2005) · 2005
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Comparison of descriptor spaces for chemical compound retrieval and classification
Wale, N., Watson, I. A., and Karypis, G. (2008) · 2008
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A concise and provably informative multi-scale signature based on heat diffusion
Sun, J., Ovsjanikov, M., and Guibas, L. (2009) · 2009
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Predicting the popularity of online content
Szabo, G. and Huberman, B. A. (2010) · 2010
Cited alongside, same era.
Prediction of retweet cascade size over time
Kupavskii, A., Ostroumova, L., Umnov, A., Usachev, S., Serdyukov, P., Gusev, G., and Kustarev, A. (2012) · 2012
Cited alongside, same era.
Adam: A method for stochastic optimization
Kingma, D. and Ba, J. (2014) · 2014
Cited alongside, same era.
Deepwalk: Online learning of social representations
Perozzi, B., Al-Rfou, R., and Skiena, S. (2014) · 2014
Cited alongside, same era.
Distilling the knowledge in a neural network
Hinton, G., Vinyals, O., and Dean, J. (2015) · 2015
Cited alongside, same era.
Line: Large-scale information network embedding
Yanardag, P. and Vishwanathan, S. (2015) · 2015
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node2vec: Scalable feature learning for networks
Grover, A. and Leskovec, J. (2016) · 2016
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Semi-supervised classification with graph convolutional networks
Kipf, T. N. and Welling, M. (2016) · 2016
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Deepgraph: Graph structure predicts network growth
Li, C., Guo, X., and Mei, Q. (2016) · 2016
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Cross-stitch networks for multi-task learning
Misra, I., Shrivastava, A., Gupta, A., and Hebert, M. (2016) · 2016
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Tang, J., Qu, M., Wang, M., Zhang, M., Yan, J., and Mei, Q. (2015) · 2015
Cited alongside, same era.
Learning convolutional neural networks for graphs
Niepert, M., Ahmed, M., and Kutzkov, K. (2016) · 2023
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