EvoKG: Jointly Modeling Event Time and Network Structure for Reasoning over Temporal Knowledge Graphs.
Namyong Park|Fuchen Liu|Purvanshi Mehta|Dana Cristofor|Christos Faloutsos|Yuxiao Dong
| Anthology ID: | DBLP:conf/wsdm/ParkLMCFD22 |
|---|---|
| Volume: | WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022 |
| Year: | 2022 |
| Venue: | Web Search and Data Mining (WSDM) |
| Publisher: | ACM |
| Pages: | 794-803 |
| URL: | https://doi.org/10.1145/3488560.3498451 |
| DOI: | https://doi.org/10.1145/3488560.3498451 |
| DBLP: | conf/wsdm/ParkLMCFD22 |
| BibTeX: |
@inproceedings{park-2022-evokg,
author = {Namyong Park and
Fuchen Liu and
Purvanshi Mehta and
Dana Cristofor and
Christos Faloutsos and
Yuxiao Dong},
editor = {K. Sel\c{c}uk Candan and
Huan Liu and
Leman Akoglu and
Xin Dong and
Jiliang Tang},
title = {{EvoKG: Jointly Modeling Event Time and Network Structure for Reasoning over Temporal Knowledge Graphs}},
booktitle = {{WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022}},
pages = {794--803},
publisher = {ACM},
year = {2022},
url = {https://doi.org/10.1145/3488560.3498451},
doi = {https://doi.org/10.1145/3488560.3498451}
}