Forecasting Future Topic Trends in the Blockchain Domain: Using Graph Convolutional Network

Yejin Park, Seonkyu Lim, Changdai Gu, Min Song. Forecasting Future Topic Trends in the Blockchain Domain: Using Graph Convolutional Network. In Chengzhi Zhang, Yi Zhang 0042, Philipp Mayr 0001, Wei Lu 0019, Arho Suominen, Haihua Chen 0002, Ying Ding 0001, editors, Proceedings of Joint Workshop of the 4th Extraction and Evaluation of Knowledge Entities from Scientific Documents (EEKE2023) and the 3rd AI + Informetrics (AII2023) co-located with the JCDL 2023, Santa Fe, New Mexico, USA and Online, 26 June, 2023. Volume 3451 of CEUR Workshop Proceedings, pages 78-89, CEUR-WS.org, 2023. [doi]

@inproceedings{ParkLGS23,
  title = {Forecasting Future Topic Trends in the Blockchain Domain: Using Graph Convolutional Network},
  author = {Yejin Park and Seonkyu Lim and Changdai Gu and Min Song},
  year = {2023},
  url = {https://ceur-ws.org/Vol-3451/paper12.pdf},
  researchr = {https://researchr.org/publication/ParkLGS23},
  cites = {0},
  citedby = {0},
  pages = {78-89},
  booktitle = {Proceedings of Joint Workshop of the 4th Extraction and Evaluation of Knowledge Entities from Scientific Documents (EEKE2023) and the 3rd AI + Informetrics (AII2023) co-located with the JCDL 2023, Santa Fe, New Mexico, USA and Online, 26 June, 2023},
  editor = {Chengzhi Zhang and Yi Zhang 0042 and Philipp Mayr 0001 and Wei Lu 0019 and Arho Suominen and Haihua Chen 0002 and Ying Ding 0001},
  volume = {3451},
  series = {CEUR Workshop Proceedings},
  publisher = {CEUR-WS.org},
}