Inf-VAE: A Variational Autoencoder Framework to Integrate Homophily and Influence in Diffusion Prediction.

Aravind Sankar|Xinyang Zhang|Adit Krishnan|Jiawei Han


Anthology ID:DBLP:conf/wsdm/SankarZK020
Volume:WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, Houston, TX, USA, February 3-7, 2020
Year:2020
Venue:Web Search and Data Mining (WSDM)
Publisher:ACM
Pages:510-518
URL:https://doi.org/10.1145/3336191.3371811
DOI:https://doi.org/10.1145/3336191.3371811
DBLP:conf/wsdm/SankarZK020
BibTeX:
@inproceedings{sankar-2020-infvae, author = {Aravind Sankar and Xinyang Zhang and Adit Krishnan and Jiawei Han}, editor = {James Caverlee and Xia Ben Hu and Mounia Lalmas-Roelleke and Wei Wang}, title = {{Inf-VAE: A Variational Autoencoder Framework to Integrate Homophily and Influence in Diffusion Prediction}}, booktitle = {{WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, Houston, TX, USA, February 3-7, 2020}}, pages = {510--518}, publisher = {ACM}, year = {2020}, url = {https://doi.org/10.1145/3336191.3371811}, doi = {https://doi.org/10.1145/3336191.3371811} }