Forecasting Transactional Amount in Bitcoin Network Using Temporal GNN Approach

Shakshi Sharma, Rajesh Sharma. Forecasting Transactional Amount in Bitcoin Network Using Temporal GNN Approach. In Martin Atzmüller, Michele Coscia, Rokia Missaoui, editors, IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2020, The Hague, Netherlands, December 7-10, 2020. pages 478-485, IEEE, 2020. [doi]

@inproceedings{SharmaS20-21,
  title = {Forecasting Transactional Amount in Bitcoin Network Using Temporal GNN Approach},
  author = {Shakshi Sharma and Rajesh Sharma},
  year = {2020},
  doi = {10.1109/ASONAM49781.2020.9381363},
  url = {https://doi.org/10.1109/ASONAM49781.2020.9381363},
  researchr = {https://researchr.org/publication/SharmaS20-21},
  cites = {0},
  citedby = {0},
  pages = {478-485},
  booktitle = {IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2020, The Hague, Netherlands, December 7-10, 2020},
  editor = {Martin Atzmüller and Michele Coscia and Rokia Missaoui},
  publisher = {IEEE},
  isbn = {978-1-7281-1056-1},
}