Graph-based generative representation learning of semantically and behaviorally augmented floorplans

Author:

Azizi VahidORCID,Usman Muhammad,Zhou Honglu,Faloutsos Petros,Kapadia Mubbasir

Funder

ISSUM

National Science Foundation

Publisher

Springer Science and Business Media LLC

Subject

Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition,Software

Reference52 articles.

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2. Azizi, V., Usman, M., Patel, S., Schaumann, D., Zhou, H., Faloutsos24, P., Kapadia, M.: Floorplan embedding with latent semantics and human behavior annotations. In: Proceedings of the Symposium on Simulation for Architecture and Urban Design, pp. 43–50 (2020)

3. Azizi, V., Usman, M., Zhou, H., Faloutsos, P., Kapadia, M.: Houseexpo dataset augmented with crowd behavioral features. https://github.com/VahidAz/Floorplan_dataset (2020)

4. Bai, Y., Ding, H., Qiao, Y., Marinovic, A., Gu, K., Chen, T., Sun, Y., Wang, W.: Unsupervised inductive graph-level representation learning via graph-graph proximity. arXiv preprint arXiv:1904.01098 (2019)

5. Bengio, Y., Simard, P., Frasconi, P.: Learning long-term dependencies with gradient descent is difficult. IEEE Trans. Neural Netw. 5(2), 157–166 (1994)

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