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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 Batagelj, V and Mrvar, A (2003) Find in CUMINCAD Pajek - Analysis and Visualization of Large Networks , Jünger, M and Mutzel, P (eds), Graph Drawing Software, Springer, Berlin, pp. 77-103
50%; open Battaglia, PW, et al. (2018) Find in CUMINCAD Relational inductive biases, deep learning, and graph networks , arXiv preprint arXiv:1806.01261, 1806, pp. 1-40
50%; open Chen, W., Wu, A. N., & Biljecki, F. (2021) Find in CUMINCAD Application of Graph Neural Networks and graph descriptors for graph classification , Computers, Environment and Urban Systems, 90, 101706
50%; open del Campo M, Carlson A and Manninger S (2020) Find in CUMINCAD 3D graph convolutional neural networks in architecture design , Distributed proximities proceedings of the ACADIA conference 2020, 24-30 October, 2020, pp. 688–696.
50%; open Del Campo, M., Carlson, A., and Manninger, S. (2020) Find in CUMINCAD 3D Graph Convolutional Neural Networks in Architecture Design , ACADIA 2020: Distributed Proximities / Volume I: Technical Papers [Proceedings of the 40th Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-95213-0]. Online and Global. 24-30 October 2020
50%; open Del Campo, M., Manninger, S. & Carlson, A. (2020) Find in CUMINCAD 3D Graph Convolutional Neural Networks in Architecture Design , 35th International Conference on The Association for Computer Aided Design in Architecture: Distributed Proximities, ACADIA 22 (pp.688-696).
50%; open Harding, J and Derix, C (2010) Find in CUMINCAD Associative spatial networks in architectural design: Artificial cognition of spoace using neural networks with spectral graph theory , Design Computing and Cognition
50%; open Harding, J., Derix, C. (2011) Find in CUMINCAD Associative spatial networks in architectural design: Artificial cognition of space using neural networks with spectral graph theory , Gero, J.S. (ed.) Design Computing and Cognition’10. pp. 305–323. Springer, Dordrecht
50%; open Harding, John, and Christian Derix (2011) Find in CUMINCAD Associative Spatial Networks in Architectural Design: Artificial Cognition of Space Using Neural Networks with Spectral Graph Theory , Design Computing and Cognition ’10, edited by John Gero, 305–23. Cham: Springer
50%; open Harding, John, and Christian Derix (2011) Find in CUMINCAD Associative Spatial Networks in Architectural Design: Artificial Cognition of Space Using Neural Networks with Spectral Graph Theory , Design Computing and Cognition ’10, edited by John S. Gero, 305–23
50%; open Harding, John, and Christian Derix (2011) Find in CUMINCAD Associative Spatial Networks in Architectural Design: Artificial Cognition of Space Using Neural Networks with Spectral Graph Theory , Design Computing and Cognition ’10, edited by John S. Gero, 305–23
50%; open Kai Wang, Yu-An Lin, Ben Weissmann, Manolis Savva, Angel X. Chang, and Daniel Ritchie (2019) Find in CUMINCAD Planit: Planning and instantiating indoor scenes with relation graph and spatial prior networks , ACMTransactions on Graphics (TOG) 38 (4): 1–15
50%; open Kipf, T. N., & Welling, M. (2016) Find in CUMINCAD Semi-supervised classification with graph convolutional networks , arXiv:1609.02907
50%; open Kipf, T. N., and M. Welling (2016) Find in CUMINCAD Semi-Supervised Classification with Graph Convolutional Networks , arXiv preprint. arXiv:1609.02907
50%; open Koenig, R and Varoudis, T (2016) Find in CUMINCAD Spatial Optimisations: Merging depthmapX, spatial graph networks and evolutionary design in Grasshopper , Design Tools - Exploration, 2, pp. 249-254
50%; open Mallot, H, Franz, M, Schölkopf, B and Bülthoff, H (1997) Find in CUMINCAD The view-graph approach to visual navigation and spatial memory , Proc. 7th Intl. Conf. Artif. Neural Networks, ICANN-97, 1, pp. 751-756
50%; open Nauata N, Chang K, Cheng C, et al (2020) Find in CUMINCAD House-gan: Relational generative adversarial networks for graph-constrained house layout generation , Eur Conf Computer Vis 2020: 162–177.
50%; open Nauata, N, Chang, KH, Cheng, CY, Mori, G and Furukawa, Y (2020) Find in CUMINCAD House-GAN: Relational Generative Adversarial Networks for Graph-Constrained House Layout Generation , arXiv:2003.06988 [cs]
50%; open Nauata, N, Chang, KH, Cheng, CY, Mori, G and Furukawa, Y (2020) Find in CUMINCAD House-GAN: Relational Generative Adversarial Networks for Graph-constrained House Layout Generation , Computer Vision - ECCV 2020 Lecture Notes in Computer Science, p. 162-177
50%; open Nauata, N, K. Chang, C. Chin-Yi, G. Mori, and Y. Furukawa (2020) Find in CUMINCAD House-GAN: Relational Generative Adversarial Networks for Graph-constrained House Layout Generation , European Conference on Computer Vision. arXiv preprint. arXiv:2003.06988

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