DyDiff-VAE: A Dynamic Variational Framework for Information Diffusion Prediction.

Ruijie Wang|Zijie Huang|Shengzhong Liu|Huajie Shao|Dongxin Liu|Jinyang Li|Tianshi Wang|Dachun Sun|Shuochao Yao|Tarek F. Abdelzaher


Anthology ID:DBLP:conf/sigir/00040LSL0WSYA21
Volume:SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021
Year:2021
Venue:Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Publisher:ACM
Pages:163-172
URL:https://doi.org/10.1145/3404835.3462934
DOI:https://doi.org/10.1145/3404835.3462934
DBLP:conf/sigir/00040LSL0WSYA21
BibTeX:
@inproceedings{wang-2021-dydiffvae, author = {Ruijie Wang and Zijie Huang and Shengzhong Liu and Huajie Shao and Dongxin Liu and Jinyang Li and Tianshi Wang and Dachun Sun and Shuochao Yao and Tarek F. Abdelzaher}, editor = {Fernando Diaz and Chirag Shah and Torsten Suel and Pablo Castells and Rosie Jones and Tetsuya Sakai}, title = {{DyDiff-VAE: A Dynamic Variational Framework for Information Diffusion Prediction}}, booktitle = {{SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021}}, pages = {163--172}, publisher = {ACM}, year = {2021}, url = {https://doi.org/10.1145/3404835.3462934}, doi = {https://doi.org/10.1145/3404835.3462934} }