BeGin: Extensive Benchmark Scenarios and an Easy-to-use Framework for Graph Continual Learning.
Jihoon Ko|Shinhwan Kang|Taehyung Kwon|Heechan Moon|Kijung Shin
| Anthology ID: | DBLP:journals/tist/KoKKMS25 |
|---|---|
| Year: | 2025 |
| Venue: | ACM Transactions on Intelligent Systems and Technology (TIST) |
| Pages: | 19:1-19:22 |
| URL: | https://doi.org/10.1145/3702648 |
| DOI: | https://doi.org/10.1145/3702648 |
| DBLP: | journals/tist/KoKKMS25 |
| BibTeX: |
@article{ko-2025-begin,
author = {Jihoon Ko and
Shinhwan Kang and
Taehyung Kwon and
Heechan Moon and
Kijung Shin},
title = {{BeGin: Extensive Benchmark Scenarios and an Easy-to-use Framework for Graph Continual Learning}},
journal = {ACM Transactions on Intelligent Systems and Technology (TIST)},
volume = {16},
number = {1},
pages = {19:1--19:22},
year = {2025},
url = {https://doi.org/10.1145/3702648},
doi = {https://doi.org/10.1145/3702648}
}