LLM-GC: Advancing Granger Causal Discovery from Time Series with Multimodel Language Modeling.
| Anthology ID: | DBLP:conf/wsdm/Liu0H26 |
|---|---|
| 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: | 387-395 |
| URL: | https://doi.org/10.1145/3773966.3777994 |
| DOI: | https://doi.org/10.1145/3773966.3777994 |
| DBLP: | conf/wsdm/Liu0H26 |
| BibTeX: |
@inproceedings{liu-2026-llmgc,
author = {Bo Liu and
Hongyan Li and
Shenda Hong},
title = {{LLM-GC: Advancing Granger Causal Discovery from Time Series with Multimodel Language Modeling}},
booktitle = {{Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, WSDM 2026, Boise, ID, USA, February 22-26, 2026}},
pages = {387--395},
publisher = {ACM},
year = {2026},
url = {https://doi.org/10.1145/3773966.3777994},
doi = {https://doi.org/10.1145/3773966.3777994}
}