Author:
Podda Marco,Bove Pasquale,Micheli Alessio,Milazzo Paolo
Publisher
Springer International Publishing
Reference42 articles.
1. Bacciu, D., Errica, F., Micheli, A., Podda, M.: A gentle introduction to deep learning for graphs. Neural Netw. 129, 203–221 (2020). https://doi.org/10.1016/j.neunet.2020.06.006
2. Bianucci, A., Micheli, A., Sperduti, A., Starita, A.: Application of cascade correlation networks for structures to chemistry. Appl. Intell. 12, 117–147 (2000). https://doi.org/10.1023/A:1008368105614
3. Bove, P., Micheli, A., Milazzo, P., Podda, M.: Prediction of dynamical properties of biochemical pathways with graph neural networks. In: Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 3 BIOINFORMATICS, pp. 32–43. INSTICC, SciTePress (2020). https://doi.org/10.5220/0008964700320043
4. Duvenaud, D.K., et al.: Convolutional networks on graphs for learning molecular fingerprints. Adv. Neural. Inf. Process. Syst. 28, 2224–2232 (2015)
5. Lecture Notes in Computer Science;F Fages,2008