Taming Non-Stationary Knowledge Growth: Dynamic Global Memory Framework for Lifelong Knowledge Graph Embedding.
Ling Wang|Yan Liu|Jicang Lu|Xiaoyu Guo|Zhipeng Li|Ningbo Huang
| Anthology ID: | DBLP:conf/wsdm/WangLLGLH26 |
|---|---|
| Volume: | Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, WSDM 2026, Boise, ID, USA, February 22-26, 2026 |
| Year: | 2026 |
| Venue: | Web Search and Data Mining (WSDM) |
| Publisher: | ACM |
| Pages: | 714-723 |
| URL: | https://doi.org/10.1145/3773966.3777936 |
| DOI: | https://doi.org/10.1145/3773966.3777936 |
| DBLP: | conf/wsdm/WangLLGLH26 |
| BibTeX: |
@inproceedings{wang-2026-taming,
author = {Ling Wang and
Yan Liu and
Jicang Lu and
Xiaoyu Guo and
Zhipeng Li and
Ningbo Huang},
title = {{Taming Non-Stationary Knowledge Growth: Dynamic Global Memory Framework for Lifelong Knowledge Graph Embedding}},
booktitle = {{Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, WSDM 2026, Boise, ID, USA, February 22-26, 2026}},
pages = {714--723},
publisher = {ACM},
year = {2026},
url = {https://doi.org/10.1145/3773966.3777936},
doi = {https://doi.org/10.1145/3773966.3777936}
}