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author={M. {Gori} and G. {Monfardini} and F. {Scarselli}},
booktitle={Proceedings. 2005 IEEE International Joint Conference on Neural Networks.},
title={A new model for learning in graph domains},
year={},
volume={},
number={},
pages={},
keywords={data structures;graph theory;neural nets;learning (artificial intelligence);graphical data structures;graph neural network;recursive neural networks;learning algorithm;Neural networks;Focusing;Application software;Machine learning;Recurrent neural networks;Encoding;Data structures;Machine learning algorithms;Tree graphs;Software engineering},
doi={10.1109/IJCNN.2005.1555942},
ISSN={2161-4407},
month={July},}

@article{scarselli2009GNN,
 author = {Scarselli, Franco and Gori, Marco and Tsoi, Ah Chung and Hagenbuchner, Markus and Monfardini, Gabriele},
 title = {The Graph Neural Network Model},
 journal = {Trans. Neur. Netw.},
 issue_date = {January 2009},
 volume = {20},
 number = {1},
 month = jan,
 year = {2009},
 issn = {1045-9227},
 pages = {61--80},
 numpages = {20},
 url = {http://dx.doi.org/10.1109/TNN.2008.2005605},
 doi = {10.1109/TNN.2008.2005605},
 acmid = {1657482},
 publisher = {IEEE Press},
 address = {Piscataway, NJ, USA},
 keywords = {Graphical domains, graph neural networks (GNNs), graph processing, graphical domains, recursive neural networks},
}

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@misc{xu2019powerful,
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