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CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures
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50%; open Nauata, N., Chang, K. H., Cheng, C. Y., Mori, G., & Furukawa, Y. (2020) Find in CUMINCAD House-gan: Relational generative adversarial networks for graph-constrained house layout generation , Computer Vision-ECCV 2020: 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part I 16 (pp. 162-177). Springer International Publishing. https://doi.org/10.1007/978-3-030-58452-8_10
50%; open Nauata, N., Chang, K. H., Cheng, C. Y., Mori, G., & Furukawa, Y. (2020) Find in CUMINCAD House-GAN: Relational Generative Adversarial Networks for Graph-constrained House Layout Generation , arXiv preprint arXiv:2003.06988
50%; open Nauata, N., Chang, K. H., Cheng, C. Y., Mori, G., & Furukawa, Y. (2020) Find in CUMINCAD House-gan: Relational generative adversarial networks for graph-constrained house layout generation , Computer Vision-ECCV 2020: 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part I 16 (pp. 162-177). Springer International Publishing
50%; open Nauata, N., Chang, K. H., Cheng, C. Y., Mori, G., & Furukawa, Y. (2020) Find in CUMINCAD House-gan: Relational generative adversarial networks for graph-constrained house layout generation , Computer Vision-ECCV 2020: 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part I 16 (pp. 162-177). Springer International Publishing
50%; open Nauata, N., Chang, K. H., Cheng, C. Y., Mori, G., Furukawa, Y. (2020) Find in CUMINCAD House-gan: Relational generative adversarial networks for graph-constrained house layout generation , European Conference on Computer Vision (ECCV). pp. 162-177. Available at: https://doi.org/10.1007/978-3-030-58452-8
50%; open Nauata, N., Chang, K.-H., Cheng, C.-Y., Mori, G. & Furukawa, Y. (2020) Find in CUMINCAD House-GAN: Relational Generative Adversarial Networks for Graph-Constrained House Layout Generation , A. Vedaldi, H. Bischof, T. Brox, & J.-M. Frahm (Eds.), Proceedings of the European Conference on Computer Vision (ECCV) (pp. 162–177). Springer International Publishing. https://doi.org/10.1007/978-3-030-58452-8_10
50%; open Owaki, T. and Machida, T. (2020) Find in CUMINCAD RoadNetGAN: Generating Road Networks in Planar Graph Representation , H. Yang et al. (eds) Neural Information Processing. Cham: Springer International Publishing (Communications in Computer and Information Science), pp. 535-543
50%; open Scarselli, F, Gori, M, Tsoi, AC, Hagenbuchner, M and Monfardini, G (2008) Find in CUMINCAD The Graph Neural Network Model , IEEE Transactions on Neural Networks, 20(1), pp. 61-80
50%; open Scarselli, F, Gori, M, Tsoi, AC, Hagenbuchner, M and Monfardini, G (2008) Find in CUMINCAD The graph neural network model , IEEE transactions on neural networks, 20(1), pp. 61-80
50%; open Schneider, S., Bielik, M., & König, R. (2012) Find in CUMINCAD The parametric exploration of spatial properties: coupling parametric geometry modeling and the graph-based spatial analysis of urban street networks , 2012 Symposium on Simulation forArchitecture and Urban Design
50%; open Wang, M., Zheng, D., Ye, Z., Gan, Q., Li, M., Song, X., Zhou, J., Ma, C., Yu, L., Gai, Y., Xiao, T., He, T., Karypis, G., Li, J. and Zhang, Z. (2019) Find in CUMINCAD Deep graph library: A graph-centric, highly-performant package for graph neural networks , arXiv preprint arXiv:1909.01315
50%; open Wu, Z., S. Pan, F. Chen, G. Long, C. Zhang, and P. S. Yu (2021) Find in CUMINCAD A Comprehensive Survey on Graph Neural Networks , IEEE Transactions on Neural Networks and Learning Systems 32, no.1 (January): 4–24
50%; open Xu, K., Hu, W., Leskovec, J., & Jegelka, S. (2018) Find in CUMINCAD How Powerful are Graph Neural Networks? https://doi , org/10.48550/ARXIV.1810.00826
50%; open Xu, K., Hu, W., Leskovec, J., & Jegelka, S. (2018) Find in CUMINCAD How Powerful are Graph Neural Networks? https://doi , org/10.48550/ARXIV.1810.00826
50%; open Zhang, M. & Chen, Y. (2018) Find in CUMINCAD Link prediction based on graph neural networks , Advances Neural Information Processing Systems, 31 (pp. 5165-5175)
50%; open Zhang, M., and Chen, Y. (2018) Find in CUMINCAD Link prediction based on graph neural networks , Advances in Neural Information Processing Systems, 31, pp. 5165-5175
50%; open Zhang, M., Li, P., Xia, Y., Wang, K., and Jin, L. (2020) Find in CUMINCAD Revisiting graph neural networks for link prediction , arXiv preprint arXiv:2010.16103
50%; open Zhao, P., Fei, Y., Huang, Y., Feng, Y., Liao, W., & Lu, X. (2023) Find in CUMINCAD Design-condition-informed shear wall layout design based on graph neural networks , Advanced Engineering Informatics, 58, 102190. https://doi.org/10.1016/j.aei.2023.102190
50%; open Zhao, P., Fei, Y., Huang, Y., Feng, Y., Liao, W., & Lu, X. (2023) Find in CUMINCAD Design-condition-informed shear wall layout design based on graph neural networks , Advanced Engineering Informatics, 58, 102190, https://doi.org/10.1016/j.aei.2023.102190
50%; open Zhao, P., Liao, W., Huang, Y., & Lu, X. (2023) Find in CUMINCAD Intelligent Beam Layout Design for Frame Structure Based on Graph Neural Networks , Journal of Building Engineering, 63, 15499. Available at: https://doi.org/1.116/j.jobe.222.15499

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