ACM Transactions · 2022 · Journal article

BeGin: Extensive Benchmark Scenarios and an Easy-to-use Framework for Graph Continual Learning

Jihoon Ko, Shinhwan Kang, Taehyung Kwon, Heechan Moon, Kijung Shin

Korea Advanced Institute of Science and Technology · International Graduate School of English

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Published in
ACM Transactions on Intelligent Systems and Technology
Date
2024-11-01
Citations
12
arXiv
2211.14568
Cite
@article{ko2022begin,
  title = {BeGin: Extensive Benchmark Scenarios and an Easy-to-use Framework for Graph Continual Learning},
  author = {Jihoon Ko and Shinhwan Kang and Taehyung Kwon and Heechan Moon and Kijung Shin},
  year = {2022},
  journal = {ACM Transactions on Intelligent Systems and Technology},
  eprint = {2211.14568},
  archivePrefix = {arXiv},
  doi = {10.1145/3702648},
  url = {https://arxiv.org/abs/2211.14568},
}