Collective Embedding with Feature Importance: A Unified Approach for Spatiotemporal Network Embedding.
Dakshak Keerthi Chandra|Pengyang Wang|Jennifer L. Leopold|Yanjie Fu
| Anthology ID: | DBLP:conf/cikm/ChandraWLF20 |
|---|---|
| Volume: | CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020 |
| Year: | 2020 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 615-624 |
| URL: | https://doi.org/10.1145/3340531.3412030 |
| DOI: | https://doi.org/10.1145/3340531.3412030 |
| DBLP: | conf/cikm/ChandraWLF20 |
| BibTeX: |
@inproceedings{chandra-2020-collective,
author = {Dakshak Keerthi Chandra and
Pengyang Wang and
Jennifer L. Leopold and
Yanjie Fu},
editor = {Mathieu d'Aquin and
Stefan Dietze and
Claudia Hauff and
Edward Curry and
Philippe Cudr\'{e}-Mauroux},
title = {{Collective Embedding with Feature Importance: A Unified Approach for Spatiotemporal Network Embedding}},
booktitle = {{CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020}},
pages = {615--624},
publisher = {ACM},
year = {2020},
url = {https://doi.org/10.1145/3340531.3412030},
doi = {https://doi.org/10.1145/3340531.3412030}
}