1. Neural network for graphs: A contextual constructive approach;Micheli;IEEE Transactions on Neural Networks,2009
2. The graph neural network model;Scarselli;IEEE Transactions on Neural Networks,2009
3. A gentle introduction to deep learning for graphs;Bacciu;Neural Networks,2020
4. A comprehensive survey on graph neural networks;Wu;IEEE Transactions on Neural Networks and Learning Systems,2021
5. P.W. Battaglia, J.B. Hamrick, V. Bapst, A. Sanchez-Gonzalez, V.F. Zambaldi, M. Malinowski, A. Tacchetti, D. Raposo, A. Santoro, R. Faulkner, Ç. Gülçehre, H.F. Song, A.J. Ballard, J. Gilmer, G.E. Dahl, A. Vaswani, K.R. Allen, C. Nash, V. Langston, C. Dyer, N. Heess, D. Wierstra, P. Kohli, M.M. Botvinick, O. Vinyals, Y. Li, R. Pascanu, Relational inductive biases, deep learning, and graph networks, CoRR abs/1806.01261. arXiv:1806.01261. URL: http://arxiv.org/abs/1806.01261.