RingNet: Geometric Deep Representation Learning for 3D Multi-domain Protein Shape Retrieval

Author:

Haj Mohamed HelaORCID,Belaid Samir,Naanaa Wady

Publisher

Springer International Publishing

Reference23 articles.

1. Ahmed, E., et al.: A survey on deep learning advances on different 3D data representations. arXiv preprint arXiv:1808.01462 (2018)

2. Aubry, M., Schlickewei, U., Cremers, D.: The wave kernel signature: a quantum mechanical approach to shape analysis. In: 2011 IEEE International Conference on Computer Vision Workshops (ICCV workshops), pp. 1626–1633. IEEE (2011)

3. Bronstein, M.M., Bruna, J., Cohen, T., Veličković, P.: Geometric deep learning: Grids, groups, graphs, geodesics, and gauges. arXiv preprint arXiv:2104.13478 (2021)

4. Bruna, J., Zaremba, W., Szlam, A., LeCun, Y.: Spectral networks and locally connected networks on graphs. arXiv preprint arXiv:1312.6203 (2013)

5. Connolly, M.L.: Solvent-accessible surfaces of proteins and nucleic acids. Science 221(4612), 709–713 (1983)

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