https://github.com/sbonner0/temporal-offset-reconstruction

Code the Big Data 2018 Paper: Temporal Graph Offset Reconstruction: Towards Temporally Robust Graph Representation Learning
https://github.com/sbonner0/temporal-offset-reconstruction

graph-embedding pytorch temporal-data

Last synced: about 1 month ago
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Code the Big Data 2018 Paper: Temporal Graph Offset Reconstruction: Towards Temporally Robust Graph Representation Learning

• Host: GitHub
• URL: https://github.com/sbonner0/temporal-offset-reconstruction
• Owner: sbonner0
• License: apache-2.0
• Created: 2018-10-24T22:25:25.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2020-06-26T13:06:58.000Z (almost 6 years ago)
• Last Synced: 2025-03-18T21:52:20.855Z (over 1 year ago)
• Topics: graph-embedding, pytorch, temporal-data
• Language: Python
• Homepage: https://arxiv.org/abs/1811.08366
• Size: 356 KB
• Stars: 2
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

          
# Temporal Offset Reconstruction

Python code using pytorch for temporal offset reconstruction based on the paper 'Temporal Graph Offset Reconstruction: Towards Temporally Robust Graph Representation Learning' published at IEEE Big Data 2018. A pre-print of the paper can be found here - https://arxiv.org/abs/1811.08366

## Cite

Please cite the associated paper for this work if you use this code:

```

@inproceedings{bonner2018temporal,

  title={Temporal graph offset reconstruction: Towards temporally robust graph representation learning},

  author={Bonner, Stephen and Brennan, John and Kureshi, Ibad and Theodoropoulos, Georgios and McGough, Andrew Stephen and Obara, Boguslaw},

  booktitle={2018 IEEE International Conference on Big Data (Big Data)},

  pages={3737--3746},

  year={2018},

  organization={IEEE}

}

```