Dependent Relational Gamma Process Models for Longitudinal Networks

Matlab code for the following paper:

Sikun Yang, and Heinz Koeppl, "Dependent Relational Gamma Process Models for Longitudinal Networks," Proceedings of the 35th International Conference on MachineLearning, pages 5551–5560.

If you find the source code helpful, please cite:

@inproceedings{DRGaPDNM,
    title =      {Dependent Relational Gamma Process Models for Longitudinal Networks},
    author =     {Yang, Sikun and Koeppl, Heinz},
    booktitle =  {Proceedings of the 35th International Conference on Machine Learning},
    pages =      {5551--5560},
    year =       {2018},
}

Acknowledgements

This research is funded by the European Union’s Horizon 2020 research and innovation programme under grant agreement 668858.

Copyright

'src_HtGaP_DNM/{CRT_matrix.m, Multrnd_mik1k2j.c, CRT_sum_mex.c, Multrnd_xijk.c, CRT_sum_mex_matrix.c, Multrnd_xijk_online.c, PolyaGamRnd_Gam.m, multrnd_histc.m, Create_Mask_network.m, prec_rec.m, Multrnd_mijk.c ,cokus.c, cokus.h, truncated_poisson_rnd.m}' is Copyright (c) 2015 Mingyuan Zhou. All rights reserved.