https://github.com/stephenyang/dynamic-Edge-Partition-Models
Dynamic Edge Partition Models for Overlapping Community Detection and Temporal Links Prediction
https://github.com/stephenyang/dynamic-Edge-Partition-Models
dynamic-relational-learning overlapping-community-detection temporal-link-prediction
Last synced: about 2 months ago
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Dynamic Edge Partition Models for Overlapping Community Detection and Temporal Links Prediction
- Host: GitHub
- URL: https://github.com/stephenyang/dynamic-Edge-Partition-Models
- Owner: stephenyang
- Created: 2019-07-23T11:20:12.000Z (almost 6 years ago)
- Default Branch: master
- Last Pushed: 2019-07-23T14:36:28.000Z (almost 6 years ago)
- Last Synced: 2024-10-30T17:48:03.235Z (7 months ago)
- Topics: dynamic-relational-learning, overlapping-community-detection, temporal-link-prediction
- Language: MATLAB
- Homepage:
- Size: 425 KB
- Stars: 2
- Watchers: 2
- Forks: 2
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
- awesome-community-detection - [C Reference
README
# Overlapping Community Detection and Temporal Link Prediction for Sparse Dynamic Networks
## dynamic Edge Partition Models
Code for
Sikun Yang and Heinz Koeppl, "[A Poisson Gamma Probabilistic Model for Latent Node-group Memberships in Dynamic Networks](https://arxiv.org/pdf/1805.11054.pdf)," Thirty-Second AAAI Conference on Artificial Intelligence (AAAI), 2018.
## Examples
#### Demo 1: Community Detection for Dynamic Networks
```Matlab
>> run_synthetic
```
## Copyright
'{CRT_matrix.m, Multrnd_mik1k2j.c, CRT_sum_mex.c, Multrnd_xijk.c, CRT_sum_mex_matrix.c, Multrnd_xijk_online.c, 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.
## References
1. Mingyuan Zhou, "[Infinite Edge Partition Models for Overlapping Community Detection and Link Prediction](http://proceedings.mlr.press/v38/zhou15a.pdf)," Artificial Intelligence and Statistics (AISTATS), San Diego, CA, May 2015. [\[code\]](https://github.com/mingyuanzhou/EPM)